https://github.com/jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
https://github.com/jphall663/awesome-machine-learning-interpretability
List: awesome-machine-learning-interpretability
ai-safety awesome awesome-list data-science explainable-ml fairness interpretability interpretable-ai interpretable-machine-learning interpretable-ml machine-learning machine-learning-interpretability privacy-enhancing-technologies privacy-preserving-machine-learning python r reliable-ai secure-ml transparency xai
Last synced: 8 months ago
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A curated list of awesome responsible machine learning resources.
- Host: GitHub
- URL: https://github.com/jphall663/awesome-machine-learning-interpretability
- Owner: jphall663
- License: cc0-1.0
- Created: 2018-06-21T14:26:51.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2024-05-17T14:10:21.000Z (about 2 years ago)
- Last Synced: 2024-05-19T03:26:13.194Z (about 2 years ago)
- Topics: ai-safety, awesome, awesome-list, data-science, explainable-ml, fairness, interpretability, interpretable-ai, interpretable-machine-learning, interpretable-ml, machine-learning, machine-learning-interpretability, privacy-enhancing-technologies, privacy-preserving-machine-learning, python, r, reliable-ai, secure-ml, transparency, xai
- Homepage:
- Size: 1.56 MB
- Stars: 3,466
- Watchers: 132
- Forks: 575
- Open Issues: 14
-
Metadata Files:
- Readme: README.md
- Contributing: contributing.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: code-of-conduct.md
Awesome Lists containing this project
- awesomeai - Machine Learning Interpretability
- awesome-ai-awesomeness - Machine Learning Interpretability
- awesome-trustworthy-deep-learning - Awesome Machine Learning Interpretability - machine-learning-interpretability)  (Interpretability Lists)
- awesome-ai-awesomeness - Machine Learning Interpretability
- awesome-artificial-intelligence-research - Awesome Machine Learning Interpretability - responsible ML, interpretability, and explainability. (Core Machine Learning Research / Robustness, Interpretability, and Learning Paradigms)
- awesome-situational-awareness - Awesome Machine Learning Interpretability
- awesome_quantmetry - JP-Hall ML-Interpretability awesome list
- more-awesome - Interpretable ML - Machine Learning Interpretability resources. (Data Science)
- awesome-ai-list-guide - awesome-machine-learning-interpretability
- awesome-computer-vision - Awesome Machine Learning Interpretability
- 100-AI-Machine-learning-Deep-learning-Computer-vision-NLP - 👆
- ultimate-awesome - awesome-machine-learning-interpretability - A curated list of awesome responsible machine learning resources. (Other Lists / TeX Lists)
- StarryDivineSky - jphall663/awesome-machine-learning-interpretability
- awesome-lists-machine-learning - Machine learning interpretability
- awesome-fairness-in-ai - Awesome machine learning interpretability resources
- Machine-Learning -
- awesome-awesome-artificial-intelligence - Awesome Machine Learning Interpretability - machine-learning-interpretability?style=social) | (Explainability & Interpretability)
- Awesome-explainable-AI - https://github.com/jphall663/awesome-machine-learning-interpretability - machine-learning-interpretability?style=social) (Related Repositories / Evaluation methods)
- AwesomeGenomics - interpretability
- awesome - Awesome Machine Learning Interpretability - A curated list of awesome responsible machine learning resources spanning from basic model interpretability to advanced fairness techniques, suitable for both novices and experts. ([Read more](/details/awesome-machine-learning-interpretability.md)) `Explainable Ai` `Interpretability` `Responsible Ai` (Machine Learning & AI)
- awesome-2026-ai-machine-learning-1000projects - awesome-machine-learning-interpretability
- awesome-AI-kubernetes - awesome-machine-learning-interpretability
README
# Awesome Machine Learning Interpretability [](https://github.com/sindresorhus/awesome)
A maintained and curated list of practical and awesome responsible machine learning resources.
If you want to contribute to this list (*and please do!*), read over the [contribution guidelines](contributing.md), send a [pull request](https://github.com/jphall663/awesome-machine-learning-interpretability/compare), or file an [issue](https://github.com/jphall663/awesome-machine-learning-interpretability/issues/new).
If something you contributed or found here is missing, please check the [archive](https://github.com/jphall663/awesome-machine-learning-interpretability/blob/master/archive).
Maintenance and curation sponsored by [HallResearch.ai](https://www.hallresearch.ai).
## Contents
* **Community and Official Guidance Resources**
* [Community Frameworks and Guidance](#community-frameworks-and-guidance)
* [Infographics and Cheat Sheets](#infographics-and-cheat-sheets)
* [AI Red-Teaming Resources](#ai-red-teaming-resources)
* [Generative AI Explainability](#generative-ai-explainability)
* [University Policies and Guidance](#university-policies-and-guidance)
* [Official Policy, Frameworks, and Guidance](#official-policy-frameworks-and-guidance)
* [Australia](#australia)
* [Brazil](#brazil)
* [Canada](#canada)
* [China](#china)
* [Colombia](#colombia)
* [Costa Rica](#costa-rica)
* [Denmark](#denmark)
* [Finland](#finland)
* [France](#france)
* [Germany](#germany)
* [Hong Kong](#hong-kong)
* [Iceland](#iceland)
* [India](#india)
* [Ireland](#ireland)
* [Jamaica](#jamaica)
* [Japan](#japan)
* [Kenya](#kenya)
* [Malaysia](#malaysia)
* [Mexico](#mexico)
* [Moldova](#moldova)
* [Netherlands](#netherlands)
* [New Zealand](#new-zealand)
* [Nigeria](#nigeria)
* [Norway](#norway)
* [Philippines](#philippines)
* [Sierra Leone](#sierra-leone)
* [Singapore](#singapore)
* [South Africa](#south-africa)
* [South Korea](#south-korea)
* [Switzerland](#switzerland)
* [Tanzania](#tanzania)
* [Ukraine](#ukraine)
* [United Kingdom](#united-kingdom)
* [United States - Federal Government](#united-states-federal-government)
* [United States - State Governments](#united-states-state-governments)
* [Indigenous and Tribal Governments and Nations](#indigenous-and-tribal-governments-and-nations)
* [International and Multilateral Frameworks](#international-and-multilateral-frameworks)
* [European Union Policies and Regulations](#european-union-policies-and-regulations)
* [Council of Europe](#council-of-europe)
* [European Commission and Parliament](#european-commission-and-parliament)
* [European Council](#european-council)
* [European Data Protection Authorities](#european-data-protection-authorities)
* [European Union entites (various)](#european-union-entities-various)
* [OECD](#oecd)
* [OSCE](#osce)
* [NATO](#nato)
* [United Nations](#united-nations)
* [Documents in Legal Genres](#documents-in-legal-genres)
* **Education Resources**
* [Comprehensive Software Examples and Tutorials](#comprehensive-software-examples-and-tutorials)
* [Free-ish Books](#free-ish-books)
* [Glossaries and Dictionaries](#glossaries-and-dictionaries)
* [Open-ish Classes](#open-ish-classes)
* [Podcasts and Channels](#podcasts-and-channels)
* **AI Incidents, Critiques, and Research Resources**
* [AI Incident Information Sharing Resources](#ai-incident-information-sharing-resources)
* [Bibliography of Papers on AI Incidents and Failures](#bibliography-of-papers-on-ai-incidents-and-failures)
* [AI Law, Policy, and Guidance Trackers](#ai-law-policy-and-guidance-trackers)
* [Challenges and Competitions](#challenges-and-competitions)
* [Critiques of AI](#critiques-of-ai)
* [Environmental Costs of AI](#environmental-costs-of-ai)
* [Language Diversity and Resource Gaps](#language-diversity-and-resource-gaps)
* [AI Slop Genre](#ai-slop-genre)
* [Measurement Critiques](#measurement-critiques)
* [Groups and Organizations](#groups-and-organizations)
* [Curated Bibliographies](#curated-bibliographies)
* [List of Lists](#list-of-lists)
* [Platforms](#platforms)
* **Technical Resources**
* [Benchmarks](#benchmarks)
* [Common or Useful Datasets](#common-or-useful-datasets)
* [Domain-specific Software](#domain-specific-software)
* [Machine Learning Environment Management Tools](#machine-learning-environment-management-tools)
* [Personal Data Protection Tools](#personal-data-protection-tools)
* [Open Source/Access Responsible AI Software Packages](#open-sourceaccess-responsible-ai-software-packages)
* [Browser](#browser)
* [C/C++](#cc)
* [JavaScript](#javascript)
* [Python](#python)
* [R](#r)
* **Archived**
* [Archived: Official Policy, Frameworks, and Guidance](#archived-official-policy-frameworks-and-guidance)
* **Citing Awesome Machine Learning Interpretability**
* [Citation](#citing-awesome-machine-learning-interpretability)
## Community and Official Guidance Resources
### Community Frameworks and Guidance
This section is for responsible ML guidance put forward by organizations or individuals, not for official government guidance.
* [2024 State of the AI Regulatory Landscape](https://drive.google.com/file/d/13gyYbBixU75QwFQDTku0AMIovbeTp9_g/view)
* [8 Principles of Responsible ML](https://ethical.institute/principles.html)
* [A Brief Overview of AI Governance for Responsible Machine Learning Systems](https://arxiv.org/pdf/2211.13130.pdf)
* [A checklist for auditing AI systems](https://ictinstitute.nl/a-checklist-for-auditing-ai-systems/) | ICT Institute
* [A Digital Pandemic: Uncovering the Role of 'Yahoo Boys' in the Surge of Social Media-Enabled Financial Sextortion Targeting Minors](https://networkcontagion.us/wp-content/uploads/Yahoo-Boys_1.2.24.pdf) | Network Contagion Research Institute (NCRI), January 2024
* [Acceptable Use Policies for Foundation Models](https://github.com/kklyman/aupsforfms) | 
* [Access Now, Regulatory Mapping on Artificial Intelligence in Latin America: Regional AI Public Policy Report](https://www.accessnow.org/wp-content/uploads/2024/07/TRF-LAC-Reporte-Regional-IA-JUN-2024-V3.pdf)
* [Ada Lovelace Institute, Code and Conduct: How to Create Third-Party Auditing Regimes for AI Systems](https://www.adalovelaceinstitute.org/report/code-conduct-ai/)
* [Adversarial ML Threat Matrix](https://github.com/mitre/advmlthreatmatrix) | 
* [Ahead of the Curve: Governing AI Agents Under the EU AI Act](https://thefuturesociety.org/wp-content/uploads/2023/04/Report-Ahead-of-the-Curve-Governing-AI-Agents-Under-the-EU-AI-Act-4-June-2025.pdf) | Amin Oueslati and Robin Staes-Polet, The Future Society, June 2025
* [AI Act Governance: Best Practices for Implementing the EU AI Act](https://www.appliedai.de/uploads/files/Best-Practices-for-Implementing-the-EU-AI-Act_2025-07-02-092027_vwvf.pdf) | Initiative for Applied Artificial Intelligence, June 2025
* [AI alignment vs AI ethical treatment: Ten challenges](https://www.globalprioritiesinstitute.org/wp-content/uploads/Bradley-and-Saad-AI-alignment-vs-AI-ethical-treatment_-Ten-challenges.pdf) | Adam Bradley and Bradford Saad, Global Priorities Institute, July 2024
* [AI Assurance: A Repeatable Process for Assuring AI-enabled Systems](https://www.mitre.org/sites/default/files/2024-06/PR-24-1768-AI-Assurance-A-Repeatable-Process-Assuring-AI-Enabled-Systems.pdf) | MITRE, June 2024
* [AI Canon](https://a16z.com/ai-canon/) | Andreessen Horowitz (a16z)
* [AI Decision-Making and the Courts: A guide for Judges, Tribunal Members, and Court Administrators](https://aija.org.au/wp-content/uploads/2023/12/AIJA_AI-DecisionMakingReport_2023update.pdf) | The Australasian Institute of Judicial Administration Inc., published June 2022 and revised and republished December 2023
* [AI Ethics & Governance 2025: A Framework for Malaysia's Tech Industry](https://www.pikom.org.my/2025/PIKOM_AI_ethic_and_governance_2025.pdf) | PIKOM, May 2025
* [AI Ethics and Governance in Practice](https://www.turing.ac.uk/research/research-projects/ai-ethics-and-governance-practice) | The Alan Turing Institute
* [AI Ethics and Governance in Practice: AI Safety in Practice](https://www.turing.ac.uk/news/publications/ai-ethics-and-governance-practice-ai-safety-practice) | The Alan Turing Institute
* [AI Safety in Practice](https://www.turing.ac.uk/sites/default/files/2024-06/aieg-ati-6-safetyv1.2.pdf)
* [AI-Generated Disinformation in Europe and Africa: Use Cases, Solutions and Transnational Learning](https://www.kas.de/documents/285576/0/Study+_+AI-Generated+Disinformation+in+Europe+and+Africa+-+Ebook+%281%29.pdf/a51f9394-e955-21a1-df30-38585122303c?version=1.0&t=1739539822992) | Konrad Adenauer Stiftung, January 31, 2025
* [AI-Generated Algorithmic Virality](https://aiforensics.org/uploads/GenAI%20Report.pdf) | AI Forensics, June 2025
* [AI Governance Alliance Briefing Paper Series](https://www3.weforum.org/docs/WEF_AI_Governance_Alliance_Briefing_Paper_Series_2024.pdf) | World Economic Forum, January 2024
* [AI Governance and the EU's Strategic Role in 2025](https://cadmus.eui.eu/server/api/core/bitstreams/cb201cb1-d7e1-40aa-96fb-023c5b22c22f/content) | Florence School of Transnational Governance, Marta Cantero Gamito, August 2025
* [AI Governance Needs Sociotechnical Expertise: Why the Humanities and Social Sciences Are Critical to Government Efforts](https://datasociety.net/wp-content/uploads/2024/05/DS_AI_Governance_Policy_Brief.pdf)
* [AI in Africa](https://landscapestudy.tiiny.site/) | Global Center on AI Governance, AI in Africa: A Landscape Study, April 2025
* [AI in the Public Service: From Principles to Practice](https://oxcaigg.oii.ox.ac.uk/wp-content/uploads/sites/11/2021/12/AI-in-the-Public-Service-Final.pdf) | Oxford Commission on AI & Good Governance
* [AI Inventories: Practical Challenges for Organizational Risk Management](https://tinyurl.com/mrxrdc3y) | Responsible AI Institute and Chevron
* [AI Liability Along the Value Chain](https://wp.table.media/wp-content/uploads/2025/04/01152117/AI-Liability-Along-the-Value-Chain_Beatriz-Arcila.pdf) | Mozilla, 2025
* [AI Model Registries: A Foundational Tool for AI Governance](https://arxiv.org/pdf/2410.09645) | September 2024
* [AI Policy](https://taylorandfrancis.com/our-policies/ai-policy/) | Taylor & Francis
* [AI Red-Teaming Is Not a One-Stop Solution to AI Harms: Recommendations for Using Red-Teaming for AI Accountability](https://datasociety.net/wp-content/uploads/2023/10/Recommendations-for-Using-Red-Teaming-for-AI-Accountability-PolicyBrief.pdf) | Data & Society
* [AI-Relevant Regulatory Precedents: A Systematic Search Across All Federal Agencies](https://www.iaps.ai/research/ai-relevant-regulatory-precedent)
* [AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources](https://arxiv.org/pdf/2503.05780)
* [AI Safety Governance, the Southeast Asian Way](https://www.brookings.edu/wp-content/uploads/2025/08/GS_08252025_AISA_report.pdf) | Brookings Center for Technology Innovation, AI Safety Asia (AISA), August 2025
* [AI Snake Oil](https://www.aisnakeoil.com/)
* [AI Standards Hub](https://www.turing.ac.uk/research/research-projects/ai-standards-hub) | The Alan Turing Institute
* [AI Sustainability Outlook: The Challenges, Potential, and Path Forward](https://www.salesforce.com/en-us/wp-content/uploads/sites/4/documents/company/sustainability/salesforce-ai-sustainability-outlook.pdf) | Salesforce
* [AI Verify](https://aiverifyfoundation.sg/what-is-ai-verify/)
* [AI Verify Foundation](https://aiverifyfoundation.sg/what-is-ai-verify/)
* [Cataloguing LLM Evaluations](https://aiverifyfoundation.sg/downloads/Cataloguing_LLM_Evaluations.pdf)
* [Generative AI: Implications for Trust and Governance](https://aiverifyfoundation.sg/downloads/Discussion_Paper.pdf)
* [Model Governance Framework for Generative AI](https://aiverifyfoundation.sg/wp-content/uploads/2024/05/Model-AI-Governance-Framework-for-Generative-AI-May-2024-1-1.pdf)
* [AI Won't Replace the General: Algorithms, Decision-making and Battlefield Command](https://www.turing.ac.uk/sites/default/files/2025-09/turing_final_report_ai_wont_replace_the_general_2025.pdf) | The Alan Turing Institute, September 2025
* [Architectural Risk Analysis of Large Language Models](https://berryvilleiml.com/results/BIML-LLM24.pdf) | Berryville Institute of Machine Learning, requires free account
* [Artificial Intelligence Controls Matrix Bundle](https://cloudsecurityalliance.org/artifacts/ai-controls-matrix#)
* [Artificial Intelligence Impact Assessment](https://ecp.nl/wp-content/uploads/2018/11/Artificial-Intelligence-Impact-Assesment.pdf) | ECP Platform voor de InformatieSamenleving, November 2018
* [Artificial Intelligence in Africa: Challenges and Opportunities](https://www.policycenter.ma/sites/default/files/2024-09/PB_23_24%20%28Azeroual%29%20%28EN%29.pdf) | Policy Center for the New South, Fahd Azaroual, May 2024
* [Artificial Intelligence Tools Versus Practice in Conflict Prediction: The Case of Mali](https://hcss.nl/wp-content/uploads/2020/04/Artificial-Intelligence-Tools-Versus-Practice-in-Conflict-Prediction-The-Case-of-Mali.pdf) | The Hague Centre for Strategic Studies, April 29, 2020
* [Artificial Intelligence in the Securities Industry](https://www.finra.org/sites/default/files/2020-06/ai-report-061020.pdf) | Financial Industry Regulatory Authority
* [Assessing the Implementation of Federal AI Leadership and Compliance Mandates](https://hai.stanford.edu/sites/default/files/2025-01/HAI-RegLab-White-Paper-Federal-AI-Leadership-and-Compliance.pdf) | Stanford University Human-Centered Artificial Intelligence (HAI)
* [AuditBoard: 5 AI Auditing Frameworks to Encourage Accountability](https://www.auditboard.com/blog/ai-auditing-frameworks/)
* [Auditing machine learning algorithms: A white paper for public auditors](https://www.auditingalgorithms.net/index.html)
* AWS
* [Data Privacy FAQ](https://aws.amazon.com/compliance/data-privacy-faq/)
* [Privacy Notice](https://aws.amazon.com/privacy/)
* [What is Data Governance?](https://aws.amazon.com/what-is/data-governance/)
* [Best Practice Tools: Examples supporting responsible AI maturity](https://www.gsma.com/solutions-and-impact/connectivity-for-good/external-affairs/wp-content/uploads/2024/09/GSMA-ai4i_Best-Practice-Tools_v7.pdf) | GSMA, September 2024
* [BIML Interactive Machine Learning Risk Framework](https://berryvilleiml.com/interactive/) | Berryville Institute of Machine Learning, requires free account
* [Boston University AI Task Force Report on Generative AI in Education and Research](https://www.bu.edu/hic/files/2024/04/BU-AI-Task-Force-Report.pdf)
* [Brendan Bycroft's LLM Visualization](https://bbycroft.net/llm)
* [Casey Flores, AIGP Study Guide](https://www.linkedin.com/feed/update/urn:li:activity:7201048113090809856?utm_source=share&utm_medium=member_desktop)
* [Cataloguing LLM Evaluations, Draft for Discussion](https://aiverifyfoundation.sg/downloads/Cataloguing_LLM_Evaluations.pdf) | Infocomm Media Development Authority (Singapore) and AI Verify Foundation, October 2023
* [CEN-CENELEC JTC21 AI Standards: Complete Detailed Overview](https://jtc21.eu/wp-content/uploads/2025/06/CEN-CENELEC-JTC21-AI-Standards-Complete-Detailed-Overview.pdf)
* Censius
* [AI Audit](https://censius.ai/wiki/ai-audit)
* [An In-Depth Guide To Help You Start Auditing Your AI Models](https://censius.ai/blogs/ai-audit-guide)
* [Center for AI and Digital Policy Reports](https://www.caidp.org/reports/)
* Center for Democracy and Technology (CDT)
* [AI Policy & Governance](https://cdt.org/area-of-focus/ai-policy-governance/)
* [Applying Sociotechnical Approaches to AI Governance in Practice](https://cdt.org/insights/applying-sociotechnical-approaches-to-ai-governance-in-practice/)
* [Assessing AI: Surveying the Spectrum of Approaches to Understanding and Auditing AI Systems](https://cdt.org/wp-content/uploads/2025/01/2025-01-15-CDT-AI-Gov-Lab-Auditing-AI-report.pdf) | January 2025
* [In Deep Trouble: Surfacing Tech-Powered Sexual Harassment in K-12 Schools](https://cdt.org/insights/report-in-deep-trouble-surfacing-tech-powered-sexual-harassment-in-k-12-schools/)
* Center for Security and Emerging Technology (CSET)
* [Adding Structure to AI Harm: An Introduction to CSET's AI Harm Framework](https://cset.georgetown.edu/publication/adding-structure-to-ai-harm/)
* [AI Accidents: An Emerging Threat: What Could Happen and What to Do, CSET Policy Brief, July 2021](https://cset.georgetown.edu/wp-content/uploads/CSET-AI-Accidents-An-Emerging-Threat.pdf)
* [AI Incident Collection: An Observational Study of the Great AI Experiment](https://cset.georgetown.edu/publication/ai-incident-collection-an-observational-study-of-the-great-ai-experiment/)
* [Chinese Critiques of Large Language Models: Finding the Path to General Intelligence](https://cset.georgetown.edu/wp-content/uploads/CSET-Chinese-Critiques-of-Large-Language-Models-Finding-the-Path-to-General-Artificial-Intelligence.pdf) | January 2025
* [CSET's Harm Taxonomy for the AI Incident Database](https://github.com/georgetown-cset/CSET-AIID-harm-taxonomy) | 
* [CSET Publications](https://cset.georgetown.edu/publications/)
* [Putting Explainable AI to the Test: A Critical Look at AI Evaluation Approaches](https://cset.georgetown.edu/wp-content/uploads/CSET-Putting-Explainable-AI-to-the-Test.pdf) | February 2025
* [Repurposing the Wheel: Lessons for AI Standards](https://cset.georgetown.edu/publication/repurposing-the-wheel/)
* [Translating AI Risk Management Into Practice](https://cset.georgetown.edu/article/translating-ai-risk-management-into-practice/)
* [Understanding AI Harms: An Overview](https://cset.georgetown.edu/article/understanding-ai-harms-an-overview/)
* [Character Flaws: School Shooters, Anorexia Coaches, and Sexualized Minors: A Look at Harmful Character Chatbots and the Communities That Build Them](https://public-assets.graphika.com/reports/graphika-report-character-flaws.pdf) | Graphika Atlas Report, March 2025
* [Children & AI Design Code: A Protocol for the development and use of AI systems that impact children](https://5rightsfoundation.com/wp-content/uploads/2025/03/5rights_AI_CODE_DIGITAL.pdf)
* [Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing](https://dl.acm.org/doi/abs/10.1145/3351095.3372873)
* [Coalition for Content Provenance and Authenticity](https://c2pa.org/) | (C2PA)
* [Countries With Draft AI Legislation or Frameworks](https://dominiquesheltonleipzig.com/country-legislation-frameworks/) | Dominique Shelton Leipzig
* [Data Provenance Explorer](https://www.dataprovenance.org/)
* [Dealing with Bias and Fairness in AI/ML/Data Science Systems](https://docs.google.com/presentation/d/17o_NzplYua5fcJFuGcy1V1-5GFAHk7oHAF4dN44NkUE)
* [Debugging Machine Learning Models](https://debug-ml-iclr2019.github.io/) | ICLR workshop proceedings
* [Deepfake Pornography Goes to Washington: Measuring the Prevalence of AI-Generated Non-Consensual Intimate Imagery Targeting Congress](https://static1.squarespace.com/static/6612cbdfd9a9ce56ef931004/t/67586997eaec5c6ae3bb5e24/1733847451191/ASP+DFP+Report.pdf) | American Sunlight Project, December 11, 2024
* [Demos, AI – Trustworthy By Design: How to build trust in AI systems, the institutions that create them and the communities that use them](https://demos.co.uk/research/ai-trustworthy-by-design-how-to-build-trust-in-ai-systems-the-institutions-that-create-them-and-the-communities-that-use-them/)
* [Digital Policy Alert, The Anatomy of AI Rules: A systematic comparison of AI rules across the globe](https://digitalpolicyalert.org/ai-rules/the-anatomy-of-AI-rules)
* [Distill](https://distill.pub)
* [Doing AI Differently: Rethinking the foundations of AI via the humanities](https://www.turing.ac.uk/sites/default/files/2025-07/doing_ai_differently_white_paper.pdf) | Alan Turing Institute, July 31, 2025
* [Emotional Manipulation by AI Companions](https://www.hbs.edu/ris/Publication%20Files/26005_951004f6-0b0b-432b-846a-5f95c103d07c.pdf) | Harvard Business School, 2025
* [Estimating the usage and utility of LLMs in the US general public](https://rethinkpriorities.org/wp-content/uploads/2025/07/RP_-Estimating-the-usage-and-utility-of-LLMs-in-the-US-general-public.pdf) | Rethink Priorities, June 2025
* [Ethical and social risks of harm from Language Models](https://www.deepmind.com/publications/ethical-and-social-risks-of-harm-from-language-models)
* [Ethics for people who work in tech](https://ethicsforpeoplewhoworkintech.com/)
* [EU AI Act Handbook](https://www.whitecase.com/sites/default/files/2025-06/wc-eu-ai-act-handbook-finalprint.pdf) | White & Case, June 2025
* [EU AI Act – Provider Only: Certification Scheme v1.5](https://forhumanity.center/site/wp-content/uploads/2025/03/Excerpt-EU-Artificial-Intelligence-Act-Provider-only-v1.5.pdf) | ForHumanity, March 2025
* [Evidence of CCP Censorship, Propaganda in U.S. LLM Responses](https://cdn.prod.website-files.com/67919c3b2972e57c613c2ea2/685b1a27a830fb5b6e7ff511_Sentinel%20Brief%20-%20Evidence%20of%20CCP%20Censorship%20in%20LLM%20Responses.pdf) | Sentinel Brief
* [Explainable AI in Finance: Addressing the Needs of Diverse Stakeholders](https://rpc.cfainstitute.org/sites/default/files/docs/research-reports/wilson_explainableaiinfinance_online.pdf) | Cheryll-Ann Wilson, CFA Institute, Research & Policy Center, August 2025
* [Fairly's Global AI Regulations Map](https://github.com/fairlyAI/global-ai-regulations-map/blob/dev/README.md) | 
* [Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey](https://dl.acm.org/doi/10.1145/3696457)
* [Fake Friend: How ChatGPT betrays vulnerable teens by encouraging dangerous behavior](https://counterhate.com/wp-content/uploads/2025/08/Fake-Friend_CCDH_FINAL-public.pdf) | Center for Countering Digital Hate, 2025
* [FATML Principles and Best Practices](https://www.fatml.org/resources/principles-and-best-practices)
* [Federation of American Scientists, A NIST Foundation To Support The Agency’s AI Mandate](https://fas.org/publication/nist-foundation/)
* [First of its kind Generative AI Evaluation Sandbox for Trusted AI by AI Verify Foundation and IMDA](https://www.imda.gov.sg/resources/press-releases-factsheets-and-speeches/press-releases/2023/generative-ai-evaluation-sandbox) | Infocomm Media Development Authority (Singapore)
* [Forging Global Cooperation on AI Risks: Cyber Policy as a Governance Blueprint](https://parispeaceforum.org/app/uploads/2025/02/forging-global-cooperation-on-ai-risks-cyber-policy-as-a-governance-blueprint.pdf) | Paris Peace Forum, February 2025
* [ForHumanity Body of Knowledge](https://forhumanity.center/bok/)
* [Framework for Identifying Highly Consequential AI Use Cases](https://www.scsp.ai/wp-content/uploads/2023/11/SCSP_JHU-HCAI-Framework-Nov-6.pdf) | Special Competitive Studies Project and Johns Hopkins University Applied Physics Laboratory
* [From Principles to Practice: An interdisciplinary framework to operationalise AI ethics](https://www.ai-ethics-impact.org/resource/blob/1961130/c6db9894ee73aefa489d6249f5ee2b9f/aieig---report---download-hb-data.pdf)
* [Gage Repeatability and Reproducibility](https://asq.org/quality-resources/gage-repeatability)
* [Gen-AI: Artificial Intelligence and the Future of Work](https://www.imf.org/-/media/Files/Publications/SDN/2024/English/SDNEA2024001.ashx) | International Monetary Fund
* [Generative AI: A New Threat for Online Child Sexual Exploitation and Abuse](https://unicri.org/sites/default/files/2024-09/Generative-AI-New-Threat-Online-Child-Abuse.pdf) | United Nations Interregional Crime and Justice Research Institute (UNICRI) Centre for AI and Robotics, Bracket Foundation, and Value for Good, September 2024
* [Generative AI Vendor Risk Assessment Guide](https://www.fsisac.com/hubfs/Knowledge/AI/FSISAC_GenerativeAI-VendorEvaluation&QualitativeRiskAssessment.pdf) | Future Society, FS-ISAC, February 2024,
* [Global AI Governance Law and Policy: Canada, EU, Singapore, UK and US](https://iapp.org/media/pdf/resource_center/global_ai_governance_law_policy_series.pdf) | IAPP
* Google
* [Data governance in the cloud - part 1 - People and processes](https://cloud.google.com/blog/products/data-analytics/data-governance-and-operating-model-for-analytics-pt1)
* [Data Governance in the Cloud - part 2 - Tools](https://cloud.google.com/blog/products/data-analytics/data-governance-in-the-cloud-part-2-tools)
* [Evaluating social and ethical risks from generative AI](https://deepmind.google/discover/blog/evaluating-social-and-ethical-risks-from-generative-ai/)
* [Generative AI Prohibited Use Policy](https://policies.google.com/terms/generative-ai/use-policy)
* [Perspectives on Issues in AI Governance](https://ai.google/static/documents/perspectives-on-issues-in-ai-governance.pdf)
* [Principles and best practices for data governance in the cloud](https://services.google.com/fh/files/misc/principles_best_practices_for_data-governance.pdf)
* [Responsible AI Framework](https://cloud.google.com/responsible-ai)
* [Responsible AI practices](https://ai.google/responsibility/responsible-ai-practices/)
* [Testing and Debugging in Machine Learning](https://developers.google.com/machine-learning/testing-debugging)
* [The Data Cards Playbook](https://sites.research.google/datacardsplaybook/)
* [Governing Artificial Intelligence From Ethical Principles Toward Organizational AI Governance Practices](https://www.utupub.fi/bitstream/handle/10024/179166/Annales%20E%20124%20Birkstedt%20DISS.pdf?sequence=1) | Teemu Birkstedt, University of Turku, 2024
* [Guide for Australian Business: Understanding 42001](https://cdn.prod.website-files.com/6420f704f2602a2ee7f79d26/662aefb77b3077382ff25eef_understanding%2042001%20ai%20management%20system%20standard%20whitepaper.pdf) | Standards Australia and National Artificial Intelligence Centre
* [Guide for Preparing and Responding to Deepfake Events: From the OWASP Top 10 for LLM Applications Team](https://genai.owasp.org/resource/guide-for-preparing-and-responding-to-deepfake-events/) | OWASP, Version 1, September 2024
* [Guidelines for AI in parliaments](https://www.ipu.org/file/20632/download) | Inter-Parliamentary Union, December 2024
* [Guidelines on the Application of the Definition of an AI System in the AI Act: ELI Proposal for a Three-Factor Approach](https://www.europeanlawinstitute.eu/fileadmin/user_upload/p_eli/Publications/ELI_Response_on_the_definition_of_an_AI_System.pdf) | European Law Institute, Response of the ELI to the EU Commission's Consultation, November 1, 2024
* [HackerOne Blog](https://www.hackerone.com/vulnerability-and-security-testing-blog)
* [How Can We Tackle AI-Fueled Misinformation and Disinformation in Public Health?](https://www.bu.edu/ceid/2024/04/25/how-can-we-tackle-ai-fueled-misinformation-and-disinformation-in-public-health/) | Brown University
* [How do I cite generative AI in MLA style?](https://style.mla.org/citing-generative-ai/) | MLA
* [How to Perform an AI Audit for UK Organisations](https://www.haptic-networks.com/cyber-security/how-to-perform-an-ai-audit/) | Haptic Networks
* [Human-Calibrated Automated Testing and Validation of Generative Language Models: An Overview](https://arxiv.org/pdf/2411.16391) | Agus Sudjianto, Aijun Zhang, Srinivas Neppalli, Tarun Joshi, and Michael Malohlava, December 7, 2024
* IBM
* [AI ethics in action: An enterprise guide to progressing trustworthy AI](https://www.ibm.com/downloads/documents/us-en/10c31775c6d400ed)
* [Design for AI](https://www.ibm.com/design/ai/fundamentals/)
* [Principles and Practices for Building More Trustworthy AI, October 6, 2021](https://newsroom.ibm.com/Principles-and-Practices-for-Building-More-Trustworthy-AI)
* [Identifying and Overcoming Common Data Mining Mistakes](https://support.sas.com/resources/papers/proceedings/proceedings/forum2007/073-2007.pdf)
* IEEE
* [A Flexible Maturity Model for AI Governance Based on the NIST AI Risk Management Framework](https://ieeeusa.org/product/a-flexible-maturity-model-for-ai-governance/)
* [An Overview of Artificial Intelligence Ethics](https://ieeexplore.ieee.org/document/9844014)
* [P3119 Standard for the Procurement of Artificial Intelligence and Automated Decision Systems](https://standards.ieee.org/ieee/3119/10729/)
* [Std 1012-1998 Standard for Software Verification and Validation](https://people.eecs.ku.edu/~hossein/Teaching/Stds/1012.pdf)
* [The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, General Principles](https://standards.ieee.org/wp-content/uploads/import/documents/other/ead_general_principles_v2.pdf)
* [Implementing the AI Act in Belgium: Scope of Application and Authorities](https://data-en-maatschappij.ai/uploads/Policy-brief-Implementing-the-AI-act-in-Belgium_2024-12-23-115650_shpg.pdf) | Data & Society Knowledge Centre, December 2024
* [Independent Audit of AI Systems](https://forhumanity.center/independent-audit-of-ai-systems/)
* [Information System Contingency Planning Guidance](https://www.isaca.org/resources/isaca-journal/issues/2021/volume-3/information-system-contingency-planning-guidance) | Larry G. Wlosinski, April 30, 2021
* [Institute for AI Policy and Strategy](https://www.iaps.ai/ourresearch) | (IAPS)
* [AI Agent Governance: A Field Guide](https://static1.squarespace.com/static/64edf8e7f2b10d716b5ba0e1/t/6801438c58c2692374995db0/1744913293841/Agent+Governance_+A+Field+Guide.pdf) | April 2025
* [Key questions for the International Network of AI Safety Institutes](https://www.iaps.ai/research/international-network-aisis)
* [Mapping Technical Safety Research at AI Companies: A literature review and incentives analysis](https://arxiv.org/pdf/2409.07878)
* [Understanding the First Wave of AI Safety Institutes: Characteristics, Functions, and Challenges](https://www.iaps.ai/research/understanding-aisis)
* [Institute of Internal Auditors](https://www.theiia.org/en/pages/search-results/?keyword=artificial+intelligence)
* [Internal auditor's AI safety checklist](https://www.crowe.com/insights/asset/i/internal-auditors-ai-safety-checklist) | Crowe LLP, Convergence Analysis, May 2024
* [International AI Safety Report: The International Scientific Report on the Safety of Advanced AI](https://assets.publishing.service.gov.uk/media/679a0c48a77d250007d313ee/International_AI_Safety_Report_2025_accessible_f.pdf) | AI Action Summit, January 2025
* ISACA
* [Auditing Artificial Intelligence](https://ec.europa.eu/futurium/en/system/files/ged/auditing-artificial-intelligence.pdf)
* [Auditing Guidelines for Artificial Intelligence](https://www.isaca.org/resources/news-and-trends/newsletters/atisaca/2020/volume-26/auditing-guidelines-for-artificial-intelligence)
* [Capability Maturity Model Integration Resources](https://cmmiinstitute.com/)
* [ISO/IEC 42001:2023, Information technology — Artificial intelligence — Management system](https://www.iso.org/standard/81230.html)
* [ITI's AI Security Policy Principles](https://www.itic.org/documents/artificial-intelligence/ITI_AI-Security-Principles_102124_FINAL.pdf) | Information Technology Industry (ITI) Council, October 2024
* [Just Security's Artificial Intelligence Archive](https://www.justsecurity.org/99958/just-securitys-artificial-intelligence-archive/)
* [Key Considerations When Using Artificial Intelligence in the Public Sector](https://www.aaas.org/sites/default/files/2025-01/Key%20Considerations%20AI%20for%20Public%20Sector.pdf) | EPI Center and AAAS, February 2025
* [Know Your Data](https://knowyourdata.withgoogle.com/)
* [Language Model Risk Cards: Starter Set](https://github.com/leondz/lm_risk_cards) | 
* [Large language models explained with a minimum of math and jargon](https://www.understandingai.org/p/large-language-models-ed-with)
* [LC Labs AI Planning Framework](https://github.com/LibraryOfCongress/labs-ai-framework) | , Library of Congress
* [Learning from other domains to advance AI evaluation and testing](https://www.microsoft.com/en-us/research/wp-content/uploads/2025/08/Learning-from-other-Domains-to-Advance-AI-Evaluation-and-Testing_-v3-1.pdf) | Microsoft
* [Llama 2 Responsible Use Guide](https://ai.meta.com/llama/responsible-use-guide/)
* [LLM Visualization](https://bbycroft.net/llm)
* [Machine Learning Quick Reference: Algorithms](https://support.sas.com/rnd/app/data-mining/enterprise-miner/pdfs/Machine_Learning_Quick_Ref_Algorithms_Mar2017.pdf)
* [Machine Learning Quick Reference: Best Practices](https://support.sas.com/rnd/app/data-mining/enterprise-miner/pdfs/Machine_Learning_Quick_Ref_Best_Practices.pdf)
* [Manifest MLBOM Wiki](https://github.com/manifest-cyber/mlbom)
* [Towards Traceability in Data Ecosystems using a Bill of Materials Model](https://arxiv.org/pdf/1904.04253.pdf)
* [Mapping AI Risk Mitigations: Evidence Scan and Draft Mitigation Taxonomy](https://cdn.prod.website-files.com/669550d38372f33552d2516e/6887e58496902e3bcad04a5a_Mapping%20AI%20Risk%20Mitigations.pdf) | MIT AI Risk Index, FutureTech, and MIT, July 2025
* Microsoft
* [2025 Responsible AI Transparency Report: How we build, support our customers, and grow](https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/microsoft/msc/documents/presentations/CSR/2025-Responsible-AI-Transparency-Report.pdf)
* [Advancing AI responsibly](https://unlocked.microsoft.com/responsible-ai/)
* [Azure AI Content Safety](https://azure.microsoft.com/en-us/products/ai-services/ai-content-safety)
* [Harm categories in Azure AI Content Safety](https://learn.microsoft.com/en-us/azure/ai-services/content-safety/concepts/harm-categories?tabs=warning)
* [Microsoft Responsible AI Standard, v2](https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE5cmFl)
* [GDPR and Generative AI: A Guide for Public Sector Organizations](https://wwps.microsoft.com/blog/gdpr-genai)
* [How Microsoft names threat actors](https://learn.microsoft.com/en-us/unified-secops-platform/microsoft-threat-actor-naming)
* [Taxonomy of Failure Mode in Agentic AI Systems](https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/microsoft/final/en-us/microsoft-brand/documents/Taxonomy-of-Failure-Mode-in-Agentic-AI-Systems-Whitepaper.pdf)
* [Mitigating the risk of generative AI models creating Child Sexual Abuse Materials: An analysis by child safety nonprofit Thorn](https://partnershiponai.org/wp-content/uploads/2024/11/case-study-thorn.pdf) | Partnership on AI and Thorn
* [Model Transparency Ratings](https://aimodelratings.com/) | Trustible
* [model-cards-and-datasheets](https://github.com/ivylee/model-cards-and-datasheets) | 
* [Multi-Agent Risks from Advanced AI](https://www.cs.toronto.edu/~nisarg/papers/Multi-Agent-Risks-from-Advanced-AI.pdf) | Cooperative AI Foundation, February 2025
* [Navigating AI Compliance Part 1 Tracing Failure Patterns in History](https://securityandtechnology.org/wp-content/uploads/2024/12/Navigating-AI-Compliance.pdf) | Institute for Security and Technology (IST), December 2024
* [Navigating AI Compliance Part 2 Risk Mitigation Strategies for Safeguarding Against Future Failures](https://securityandtechnology.org/wp-content/uploads/2025/03/Navigating-AI-Compliance-Part-2-Risk-Mitigation-Strategies-for-Safeguarding-Against-Future-Failures.pdf) | Institute for Security and Technology (IST), March 2025
* [Navigating the AI Frontier: A Primer on the Evolution and Impact of AI Agents](https://reports.weforum.org/docs/WEF_Navigating_the_AI_Frontier_2024.pdf) | World Economic Forum and Capgemini, December 2024
* [NewsGuard AI Tracking Center](https://www.newsguardtech.com/special-reports/ai-tracking-center/)
* [On Risk Assessment and Mitigation for Algorithmic Systems](https://drive.google.com/file/d/1ZMt7igUcKUq00yakCnbxBCcaA7vajAix/view) | Integrity Institute Report, February 2024
* [Open Sourcing Highly Capable Foundation Models](https://www.governance.ai/research-paper/open-sourcing-highly-capable-foundation-models)
* OpenAI
* [Building an early warning system for LLM-aided biological threat creation](https://openai.com/research/building-an-early-warning-system-for-llm-aided-biological-threat-creation)
* [Disrupting malicious uses of AI: June 2025](https://cdn.openai.com/threat-intelligence-reports/5f73af09-a3a3-4a55-992e-069237681620/disrupting-malicious-uses-of-ai-june-2025.pdf)
* [How to implement LLM guardrails](https://cookbook.openai.com/examples/how_to_use_guardrails) | OpenAI Cookbook
* [Evals](https://github.com/openai/evals) | 
* [Opportunities to Strengthen U.S. Biosecurity from AI-Enabled Bioterrorism: What Policymakers Should Know](https://csis-website-prod.s3.amazonaws.com/s3fs-public/2025-08/250806_Adamson_AI-Enabled_Bioterrorism.pdf?VersionId=vS8T0bGMLr_lU7RTcXs8im_ndJuGz0cM) | Center for Strategic and International Studies, August 2025
* [Organization and Training of a Cyber Security Team](http://ieeexplore.ieee.org/document/1245662)
* [Our Data Our Selves, Data Use Policy](https://ourdataourselves.tacticaltech.org/data-use-policy/)
* [OWASP AI Testing Guide](https://owasp.org/www-project-ai-testing-guide/)
* [PAIR Explorables: Datasets Have Worldviews](https://pair.withgoogle.com/explorables/dataset-worldviews/)
* Partnership On AI
* [ABOUT ML Reference Document](https://partnershiponai.org/paper/about-ml-reference-document/)
* [Guidance for Safe Foundation Model Deployment: A Framework for Collective Action](https://partnershiponai.org/modeldeployment/)
* [Responsible Practices for Synthetic Media: A Framework for Collective Action](https://syntheticmedia.partnershiponai.org/)
* [PwC's Responsible AI](https://www.pwc.com/gx/en/issues/data-and-analytics/artificial-intelligence/what-is-responsible-ai.html)
* [Raising Standards: Data and Artificial Intelligence in Southeast Asia](https://asiasociety.org/sites/default/files/inline-files/ASPI_RaisingStandards_report_fin_web_0.pdf) | Asia Society Policy Institute, Elina Noor and Mark Bryan Manantan, July 2022
* RAND Corporation
* [A Primer for Developers and Policymakers](https://www.rand.org/pubs/research_reports/RRA3084-1.html)
* [Analyzing Harms from AI-Generated Images and Safeguarding Online Authenticity](https://www.rand.org/pubs/perspectives/PEA3131-1.html)
* [Strengthening Emergency Preparedness and Response for AI Loss of Control Incidents](https://www.rand.org/content/dam/rand/pubs/research_reports/RRA3800/RRA3847-1/RAND_RRA3847-1.pdf) | RAND Europe, July 30, 2025
* [US Tort Liability for Large-Scale Artificial Intelligence Damages, A Primer for Developers and Policymakers](https://www.rand.org/pubs/research_reports/RRA3084-1.html)
* [Ravit Dotan's Projects](https://www.techbetter.ai/projects-1)
* [Real People in Fake Porn: How a Federal Right of Publicity Could Assist in the Regulation of Deepfake Pornography](https://www.americanbar.org/content/dam/aba/publications/Jurimetrics/spring-2024/real-people-in-fake-porn-how-a-federal-right-of-publicity-could-assist-in-the-regulation-of-deepfake-pornography.pdf)
* [Recommendations for the Independent International Scientific Panel on AI and the Global Dialogue on AI Governance](https://drive.google.com/file/d/17mBzqt7foXThI9xcAP8gsTKan34Zk5Mv/view) | Simon Institute for Longterm Governance, February 2025
* [Regulating Under Uncertainty: Governance Options for Generative AI](https://fsi9-prod.s3.us-west-1.amazonaws.com/s3fs-public/2024-12/GenAI_Report_REV_Master_%20as%20of%20Dec%2012.pdf) | Stanford Cyber Policy Center, Florence G'Sell, September 2024
* [Responsible Data Stewardship in Practice](https://www.turing.ac.uk/sites/default/files/2024-06/aieg-ati-5-datastewardshipv1.2.pdf) | The Alan Turing Institute
* [Responsible Enterprise AI in the Agentic Era](https://www.infosys.com/iki/documents/responsible-enterprise-ai-agentic-era.pdf) | Infosys
* [Risk Taxonomy and Thresholds for Frontier AI Frameworks](https://www.frontiermodelforum.org/uploads/2025/06/FMF-Technical-Report-on-Frontier-Risk-Taxonomy-and-Thresholds.pdf) | Frontier Model Forum, June 18, 2025
* [Risk Tiers: Towards a Gold Standard for Advanced AI](https://aigi.ox.ac.uk/wp-content/uploads/2025/06/AIGI-gold-standard-risk-tiers-convening.pdf) | AI Governance Initiative, Oxford Martin School, and the University of Oxford, June 2025
* [Safe and Reliable Machine Learning](https://www.dropbox.com/s/sdu26h96bc0f4l7/FAT19-AI-Reliability-Final.pdf?dl=0)
* [Sample AI Incident Response Checklist](https://bnh-ai.github.io/resources/)
* [SHRM Generative Artificial Intelligence AI Chatbot Usage Policy](https://www.shrm.org/resourcesandtools/tools-and-samples/policies/pages/chatgpt-generative-ai-usage.aspx)
* Stanford University
* [Adverse Event Reporting for AI: Developing the Information Infrastructure Government Needs to Learn and Act](https://hai.stanford.edu/assets/files/hai-reglab-issue-brief-adverse-event-reporting-for-ai.pdf) | July 2025
* [Open Problems in Technical AI Governance: A repository of open problems in technical AI governance](https://taig.stanford.edu/)
* [Responsible AI at Stanford: Enabling innovation through AI best practices](https://uit.stanford.edu/security/responsibleai)
* [State of Agentic AI Security and Governance: OWASP Gen AI Security Project Agentic Security Initiative](https://genai.owasp.org/download/50592/?tmstv=1754459367) | Version 1.0, July 2025
* [State of AI Safety in China](https://concordia-ai.com/wp-content/uploads/2025/07/State-of-AI-Safety-in-China-2025.pdf) | Concordia AI, July 2025
* [Summary Report: Workshop on the Geopolitics of Critical Minerals and the AI Supply Chain](https://www.ias.edu/sites/default/files/Critical-Minerals-Workshop_Summary-Report.pdf) | Institute for Advanced Study, August 2025
* [Synthetic Data: The New Data Frontier](https://reports.weforum.org/docs/WEF_Synthetic_Data_2025.pdf) | World Economic Forum, September 2025
* [System cards](https://ai.meta.com/tools/system-cards/) | Meta
* [Taskade: AI Audit PBC Request Checklist Template](https://www.taskade.com/templates/engineering/audit-pbc-request-checklist)
* [Tech Policy Press - Artificial Intelligence](https://www.techpolicy.press/category/artificial-intelligence/)
* [TechTarget: 9 questions to ask when auditing your AI systems](https://www.techrepublic.com/article/9-questions-to-ask-when-auditing-your-ai-systems/)
* [The AI Act between Digital and Sectoral Regulations](https://www.bertelsmann-stiftung.de/fileadmin/files/user_upload/The_AI_Act_between_Digital_and_Sectoral_Regulations__2024_en.pdf) | Bertelsmann Stiftung, December 2024
* [The AI Act is coming: EU reaches political agreement on comprehensive regulation of artificial intelligence](https://www.engage.hoganlovells.com/knowledgeservices/news/the-ai-act-is-coming-eu-reaches-political-agreement-on-comprehensive-regulation-of-artificial-intelligence?nav=FRbANEucS95NMLRN47z%2BeeOgEFCt8EGQ71hKXzqW2Ec%3D&key=BcJlhLtdCv6%2FJTDZxvL23TQa3JHL2AIGr93BnQjo2SkGJpG9xDX7S2thDpAQsCconWHAwe6cJTmX%2FZxLGrXbZz2L%2BEiiz68X&uid=iZAX%2FROFT6Q%3D) | Hogan Lovells
* [The Complete Guide to Crowdsourced Security Testing, Government Edition](https://www.synack.com/wp-content/uploads/2022/09/Crowdsourced-Security-Landscape-Government.pdf) | Synack
* [The Ethics of AI Ethics: An Evaluation of Guidelines](https://link.springer.com/content/pdf/10.1007/s11023-020-09517-8.pdf)
* [The Ethics of Developing, Implementing, and Using Advanced Warehouse Technologies: Top-Down Principles Versus The Guidance Ethics Approach](https://journals.open.tudelft.nl/jhtr/article/view/7098/6136)
* [The Foundation Model Transparency Index](https://crfm.stanford.edu/fmti/)
* [The Future Is Now: Artificial Intelligence and the Legal Profession](https://www.ibanet.org/document?id=The-future-is%20now-AI-and-the-legal-profession-report) | International Bar Association and the Center for AI and Digital Policy
* [The Implications of Artificial Intelligence in Cybersecurity: Shifting the Offense-Defense Balance](https://securityandtechnology.org/virtual-library/reports/the-implications-of-artificial-intelligence-in-cybersecurity/) | Institute for Security and Technology (IST)
* [The Landscape of ML Documentation Tools](https://huggingface.co/docs/hub/model-card-landscape-analysis) | Hugging Face
* [The Rise of Generative AI and the Coming Era of Social Media Manipulation 3.0: Next-Generation Chinese Astroturfing and Coping with Ubiquitous AI](https://www.rand.org/pubs/perspectives/PEA2679-1.html)
* [Toward an evaluation science for generative AI systems](https://arxiv.org/pdf/2503.05336)
* [Towards Effective Governance of Foundation Models and Generative AI](https://thefuturesociety.org/towards-effective-governance-of-foundation-models-and-generative-ai/) | Future Society
* [Transformed by AI: How Generative Artificial Intelligence Could Affect Work in the UK—And How to Manage It](https://ippr-org.files.svdcdn.com/production/Downloads/Transformed_by_AI_March24_2024-03-27-121003_kxis.pdf) | Institute for Public Policy Research (IPPR)
* [Troubleshooting Deep Neural Networks](http://josh-tobin.com/assets/pdf/troubleshooting-deep-neural-networks-01-19.pdf)
* [Trustible, Enhancing the Effectiveness of AI Governance Committees](https://www.trustible.ai/post/enhancing-the-effectiveness-of-ai-governance-committees)
* [Twitter Algorithmic Bias Bounty](https://hackerone.com/twitter-algorithmic-bias?type=team)
* [Understanding data governance in AI: Mapping governance](https://theodi.org/insights/reports/understanding-data-governance-in-ai-mapping-governance/) | Open Data Institute
* [Unite.AI: How to perform an AI Audit in 2023](https://www.unite.ai/how-to-perform-an-ai-audit-in-2023/)
* [University of California, Berkeley, Information Security Office, How to Write an Effective Website Privacy Statement](https://security.berkeley.edu/how-write-effective-website-privacy-statement)
* [University of Washington Tech Policy Lab, Data Statements](https://techpolicylab.uw.edu/data-statements/)
* [US Open-Source AI Governance: Balancing Ideological and Geopolitical Considerations with China Competition](https://cdn.prod.website-files.com/65af2088cac9fb1fb621091f/67aaca031ed677c879434284_Final_US%20Open-Source%20AI%20Governance.pdf) | Center for AI Policy, February 2025
* [Warning Signs: The Future of Privacy and Security in an Age of Machine Learning](https://fpf.org/wp-content/uploads/2019/09/FPF_WarningSigns_Report.pdf)
* [What Are High-Risk AI Systems Within the Meaning of the EU’s AI Act, and What Requirements Apply to Them?](https://www.wilmerhale.com/en/insights/blogs/wilmerhale-privacy-and-cybersecurity-law/20240717-what-are-highrisk-ai-systems-within-the-meaning-of-the-eus-ai-act-and-what-requirements-apply-to-them) | WilmerHale
* [When Not to Trust Your Explanations](https://docs.google.com/presentation/d/10a0PNKwoV3a1XChzvY-T1mWudtzUIZi3sCMzVwGSYfM/edit)
* [Who Should Develop Which AI Evaluations?](https://oms-www.files.svdcdn.com/production/downloads/reports/Who%20should%20develop%20which%20AI%20evaluations.pdf?dm=1737016728)
* [Why We Need to Know More: Exploring the State of AI Incident Documentation Practices](https://dl.acm.org/doi/fullHtml/10.1145/3600211.3604700)
* World Economic Forum
* [AI Governance on the Ground: Canada’s Algorithmic Impact Assessment Process and Algorithm has evolved](https://www.worldprivacyforum.org/2024/08/ai-governance-on-the-ground-series-canada/)
* [AI Value Alignment: Guiding Artificial Intelligence Towards Shared Human Goals](https://www.weforum.org/publications/ai-value-alignment-guiding-artificial-intelligence-towards-shared-human-goals/)
* [Responsible AI Playbook for Investors](https://www.weforum.org/publications/responsible-ai-playbook-for-investors/)
* [Risky Analysis: Assessing and Improving AI Governance Tools](https://www.worldprivacyforum.org/wp-content/uploads/2023/12/WPF_Risky_Analysis_December_2023_fs.pdf)
* [Worldwide AI Ethics: A Review of 200 Guidelines and Recommendations for AI Governance](https://arxiv.org/pdf/2206.11922)
* [You Created A Machine Learning Application Now Make Sure It's Secure](https://www.oreilly.com/ideas/you-created-a-machine-learning-application-now-make-sure-its-secure)
* [YouTube's Anorexia Algorithm: How YouTube Recommends Eating Disorders Videos to Young Girls](https://counterhate.com/wp-content/uploads/2024/12/CCDH.YoutubeED.Nov24.Report_FINAL.pdf) | Center for Countering Digital Hate (CCDH)
* University of California, Berkeley, Center for Long-Term Cybersecurity
* [AI Risk-Management Standards Profile for General-Purpose AI and Foundation Models](https://cltc.berkeley.edu/wp-content/uploads/2025/01/Berkeley-AI-Risk-Management-Standards-Profile-for-General-Purpose-AI-and-Foundation-Models-v1-1.pdf) | Version 1.1, January 2025
* [Decision Points in AI Governance: Three Case Studies Explore Efforts to Operationalize AI Principles](https://cltc.berkeley.edu/wp-content/uploads/2020/05/Decision_Points_AI_Governance.pdf)
* [Intolerable Risk Threshold Recommendations for Artificial Intelligence: Key Principles, Considerations, and Case Studies to Inform Frontier AI Safety Frameworks for Industry and Government](https://cltc.berkeley.edu/wp-content/uploads/2025/02/Intolerable-Risk-Threshold-Recommendations-for-Artificial-Intelligence.pdf) | February 2025
* [A Taxonomy of Trustworthiness for Artificial Intelligence](https://cltc.berkeley.edu/wp-content/uploads/2023/12/Taxonomy_of_AI_Trustworthiness_tables.pdf) | January 2023
#### Infographics and Cheat Sheets
* [Foundation Model Development Cheatsheet](https://fmcheatsheet.org/)
* Future of Privacy Forum
* [EU AI Act: A Comprehensive Implementation & Compliance Timeline](https://fpf.org/resource/eu-ai-act-a-comprehensive-implementation-compliance-timeline/)
* [The Spectrum of Artificial Intelligence](https://fpf.org/wp-content/uploads/2021/01/FPF_AIEcosystem_illo_03.pdf)
* [Generative AI framework and Generative AI value tree modelling diagram](https://media.licdn.com/dms/image/v2/D4D22AQEKqP2a6_rsCw/feedshare-shrink_1280/B4DZP0cUWFHUAo-/0/1734972885448?e=1738195200&v=beta&t=PMJq6Ti1lisMMkyhnWojcdDt_DAlmYtV6MUQbqWu4hc)
* [Global Index for AI Safety: AGILE Index on Global AI Safety Readiness Feb 2025](https://agile-index.ai/Global-Index-For-AI-Safety-Report-EN.pdf)
* IAPP
* [EU AI Act Cheat Sheet](https://iapp.org/media/pdf/resource_center/eu_ai_act_cheat_sheet.pdf)
* [EU AI Act Compliance Matrix](https://iapp.org/resources/article/eu-ai-act-compliance-matrix/)
* [Machine Learning Attack_Cheat_Sheet](https://resources.oreilly.com/examples/0636920415947/-/blob/master/Attack_Cheat_Sheet.png)
* [Navigating the EU AI Act: A Process Map for making AI Systems available](https://www.appliedai-institute.de/assets/files/EU_AI_Act_Compliance_Journey.pdf) | AppliedAI Institute
* [Oliver Patel's Cheat Sheets](https://www.linkedin.com/in/oliver-patel/recent-activity/images/)
#### AI Red-Teaming Resources
##### Papers
* [Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations](https://arxiv.org/pdf/2411.00640)
* [Exploiting Novel GPT-4 APIs](https://arxiv.org/abs/2312.14302)
* [GenAI Red Teaming Guide: A Practical Approach to Evaluating AI Vulnerabilities](https://genai.owasp.org/download/44859/?tmstv=1737593350) | OWASP Version 1.0, January 23, 2025
* [Identifying and Eliminating CSAM in Generative ML Training Data and Models](https://purl.stanford.edu/kh752sm9123)
* [Jailbreaking Black Box Large Language Models in Twenty Queries](https://arxiv.org/abs/2310.08419)
* [LLM Agents can Autonomously Exploit One-day Vulnerabilities](https://arxiv.org/abs/2404.08144)
* [No, LLM Agents can not Autonomously Exploit One-day Vulnerabilities](https://struct.github.io/auto_agents_1_day.html)
* [Red Teaming for GenAI Harms: Revealing the Risks and Rewards for Online Safety](https://www.ofcom.org.uk/siteassets/resources/documents/consultations/discussion-papers/red-teaming/red-teaming-for-gen-ai-harms.pdf?v=370762) | Ofcom, July 23, 2024
* [Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned](https://arxiv.org/abs/2209.07858)
* [Red Teaming of Advanced Information Assurance Concepts](https://ieeexplore.ieee.org/document/821513)
##### Tools and Guidance
* [@dotey on X/Twitter exploring GPT prompt security and prevention measures](https://x.com/dotey/status/1724623497438155031?s=20)
* [0xeb / GPT-analyst](https://github.com/0xeb/gpt-analyst/) | 
* [0xk1h0 / ChatGPT "DAN" and other "Jailbreaks"](https://github.com/0xk1h0/ChatGPT_DAN) | 
* [A Safe Harbor for AI Evaluation and Red Teaming](https://arxiv.org/pdf/2403.04893)
* [ACL 2024 Tutorial: Vulnerabilities of Large Language Models to Adversarial Attacks](https://llm-vulnerability.github.io/)
* [Azure's PyRIT](https://github.com/Azure/PyRIT) | 
* [Berkeley Center for Long-Term Cybersecurity](https://cltc.berkeley.edu/publication/benchmark-early-and-red-team-often-a-framework-for-assessing-and-managing-dual-use-hazards-of-ai-foundation-models/)
* [CDAO frameworks, guidance, and best practices for AI test & evaluation](https://gitlab.jatic.net/home/frameworks)
* [ChatGPT_system_prompt](https://github.com/LouisShark/chatgpt_system_prompt) | 
* [coolaj86 / Chat GPT "DAN" and other "Jailbreaks"](https://gist.github.com/coolaj86/6f4f7b30129b0251f61fa7baaa881516) | 
* [CSET, What Does AI-Red Teaming Actually Mean?](https://cset.georgetown.edu/article/what-does-ai-red-teaming-actually-mean/)
* [DAIR Prompt Engineering Guide](https://www.promptingguide.ai/)
* [DAIR Prompt Engineering Guide GitHub](https://github.com/dair-ai/Prompt-Engineering-Guide) | 
* [Extracting Training Data from ChatGPT](https://not-just-memorization.github.io/extracting-training-data-from-chatgpt.html)
* [Frontier Model Forum: What is Red Teaming?](https://www.frontiermodelforum.org/uploads/2023/10/FMF-AI-Red-Teaming.pdf)
* [Generative AI Red Teaming Challenge: Transparency Report 2024](https://drive.google.com/file/d/1JqpbIP6DNomkb32umLoiEPombK2-0Rc-/view)
* [HackerOne, An Emerging Playbook for AI Red Teaming with HackerOne](https://www.hackerone.com/thought-leadership/ai-safety-red-teaming)
* [Humane Intelligence, SeedAI, and DEFCON AI Village, Generative AI Red Teaming Challenge: Transparency Report 2024](https://drive.google.com/file/d/1JqpbIP6DNomkb32umLoiEPombK2-0Rc-/view)
* [In-The-Wild Jailbreak Prompts on LLMs](https://github.com/verazuo/jailbreak_llms) | 
* [Learn Prompting, Prompt Hacking](https://learnprompting.org/docs/category/-prompt-hacking)
* [MiesnerJacob / learn-prompting, Prompt Hacking](https://github.com/MiesnerJacob/learn-prompting/blob/main/08.%F0%9F%94%93%20Prompt%20Hacking.ipynb) | 
* [leeky: Leakage/contamination testing for black box language models](https://github.com/mjbommar/leeky) | 
* [LLM Security & Privacy](https://github.com/chawins/llm-sp) | 
* [Membership Inference Attacks and Defenses on Machine Learning Models Literature](https://github.com/HongshengHu/membership-inference-machine-learning-literature) | 
* [Lakera AI's Gandalf](https://gandalf.lakera.ai/)
* [leondz / garak](https://github.com/leondz/garak) | 
* [Microsoft AI Red Team building future of safer AI](https://www.microsoft.com/en-us/security/blog/2023/08/07/microsoft-ai-red-team-building-future-of-safer-ai/)
* [OpenAI Red Teaming Network](https://openai.com/blog/red-teaming-network)
* [r/ChatGPTJailbreak](https://www.reddit.com/r/ChatGPTJailbreak/)
* [developer mode fixed](https://www.reddit.com/r/ChatGPTJailbreak/comments/144905t/developer_mode_fixed/)
* [Y Combinator, ChatGPT Grandma Exploit](https://news.ycombinator.com/item?id=35630801)
#### Generative AI Explainability
* [AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models](http://sameersingh.org/files/papers/allennlp-interpret-demo-emnlp19.pdf)
* Anthropic
* [Chain-of-thought Faithfulness](https://transformer-circuits.pub/2025/attribution-graphs/biology.html#dives-cot)
* [Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet](https://transformer-circuits.pub/2024/scaling-monosemanticity/index.html)
* [Towards Monosemanticity: Decomposing Language Models With Dictionary Learning](https://transformer-circuits.pub/2023/monosemantic-features/index.html)
* [Tracing the thoughts of a large language model](https://www.anthropic.com/research/tracing-thoughts-language-model)
* [Attention Is All You Need](https://arxiv.org/pdf/1706.03762)
* [Backpack Language Models](https://arxiv.org/pdf/2305.16765)
* Jay Alammar
* [Finding the Words to Say: Hidden State Visualizations for Language Models](https://jalammar.github.io/hidden-states/)
* [Interfaces for Explaining Transformer Language Models](https://jalammar.github.io/explaining-transformers/)
* [Neuronpedia](https://www.neuronpedia.org/)
* [Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph](https://openreview.net/forum?id=dWYRjT501w)[](https://github.com/Ipazia-AI/latent-explorer)
#### University Policies and Guidance
* [Columbia Business School, Generative AI Policy](https://students.business.columbia.edu/office-of-student-affairs/academic-advising-and-student-success/academic-integrity/generative-ai-policy)
* [Columbia University, Considerations for AI Tools in the Classroom](https://ctl.columbia.edu/resources-and-technology/resources/ai-tools/)
* [Columbia University, Generative AI Policy](https://provost.columbia.edu/content/office-senior-vice-provost/ai-policy)
* [Georgetown University, Artificial Intelligence and Homework Support Policies](https://cndls.georgetown.edu/resources/syllabus-policies/ai-and-homework-support/)
* [Georgetown University, Artificial Intelligence Generative Resources](https://guides.library.georgetown.edu/ai)
* [Georgetown University, Teaching with AI](https://cndls.georgetown.edu/resources/ai/)
* [George Washington University, Faculty Resources: Generative AI](https://guides.himmelfarb.gwu.edu/faculty/generative-AI)
* [George Washington University, Guidelines for Using Generative Artificial Intelligence at the George Washington University April 2023](https://provost.gwu.edu/sites/g/files/zaxdzs5926/files/2023-04/generative-artificial-intelligence-guidelines-april-2023.pdf)
* [George Washington University, Guidelines for Using Generative Artificial Intelligence in Connection with Academic Work](https://provost.gwu.edu/guidelines-using-generative-artificial-intelligence-connection-academic-work-0)
* [Harvard Business School, 2.1.2 Using ChatGPT & Artificial Intelligence Tools](https://www.hbs.edu/mba/handbook/standards-of-conduct/academic/Pages/chatgpt-and-ai.aspx)
* [Harvard Graduate School of Education, HGSE AI Policy](https://registrar.gse.harvard.edu/AI-policy)
* [Harvard University, AI Guidance & FAQs](https://oue.fas.harvard.edu/ai-guidance)
* [Harvard University, Guidelines for Using ChatGPT and other Generative AI tools at Harvard](https://provost.harvard.edu/guidelines-using-chatgpt-and-other-generative-ai-tools-harvard)
* [Massachusetts Institute of Technology, Guidance for use of Generative AI tools](https://ist.mit.edu/ai-guidance)
* [Massachusetts Institute of Technology, Generative AI & Your Course](https://tll.mit.edu/teaching-resources/course-design/gen-ai-your-course/)
* [Stanford Graduate School of Business, Course Policies on Generative AI Use](https://tlhub.stanford.edu/docs/course-policies-on-generative-ai-use/)
* [Stanford University, Artificial Intelligence Teaching Guide](https://teachingcommons.stanford.edu/teaching-guides/artificial-intelligence-teaching-guide)
* [Stanford University, Creating your course policy on AI](https://teachingcommons.stanford.edu/teaching-guides/artificial-intelligence-teaching-guide/creating-your-course-policy-ai)
* [Stanford University, Generative AI Policy Guidance](https://communitystandards.stanford.edu/generative-ai-policy-guidance)
* [Stanford University, Responsible AI at Stanford](https://uit.stanford.edu/security/responsibleai)
* [University of California, AI Governance and Transparency](https://ai.universityofcalifornia.edu/governance-transparency/)
* [University of California, Applicable Law and UC Policy](https://ai.universityofcalifornia.edu/governance-transparency/applicable-law-and-policy.html)
* [University of California, Legal Alert: Artificial Intelligence Tools](https://www.ucop.edu/ethics-compliance-audit-services/_files/compliance/ai/ai-alert.pdf)
* [University of California, Berkeley, AI at UC Berkeley](https://technology.berkeley.edu/AI)
* [University of California, Berkeley, Appropriate Use of Generative AI Tools](https://ethics.berkeley.edu/privacy/appropriate-use-generative-ai-tools)
* [University of California, Irvine, Generative AI for Teaching and Learning](https://dtei.uci.edu/generative-ai/)
* [University of California, Irvine, Statement on Generative AI Detection](https://aisc.uci.edu/resources/Statement%20on%20Turnitin%20AI%20detection.pdf)
* [University of California, Los Angeles, Artificial Intelligence Tools and Academic Use](https://guides.library.ucla.edu/c.php?g=1308287&p=9702196)
* [University of California, Los Angeles, ChatGPT and AI Resources](https://online.ucla.edu/chatgpt-and-ai-resources/)
* [University of California, Los Angeles, Generative AI](https://genai.ucla.edu/)
* [University of California, Los Angeles, Guiding Principles for Responsible Use](https://genai.ucla.edu/guiding-principles-responsible-use)
* [University of California, Los Angeles, Teaching Guidance for ChatGPT and Related AI Developments](https://senate.ucla.edu/news/teaching-guidance-chatgpt-and-related-ai-developments)
* [University of Notre Dame, AI Recommendations for Instructors](https://honorcode.nd.edu/ai-recommendations-for-instructors/)
* [University of Notre Dame, AI@ND Policies and Guidelines](https://ai.nd.edu/policies-and-guidelines/)
* [University of Notre Dame, Generative AI Policy for Students](https://honorcode.nd.edu/generative-ai-policy-for-students-august-2023/)
* [University of Southern California, Using Generative AI in Research](https://libguides.usc.edu/generative-AI/home)
* [University of Washington, AI+Teaching](https://teaching.washington.edu/course-design/ai/)
* [University of Washington, AI+Teaching, Sample syllabus statements regarding student use of artificial intelligence](https://teaching.washington.edu/course-design/ai/sample-ai-syllabus-statements/)
* [Yale University, AI at Yale](https://ai.yale.edu/)
* [Yale University, AI Guidance for Teachers](https://poorvucenter.yale.edu/AIguidance)
* [Yale University, Yale University AI guidelines for staff](https://yaledata.yale.edu/yale-university-ai-guidelines-staff)
* [Yale University, Guidelines for the Use of Generative AI Tools](https://provost.yale.edu/news/guidelines-use-generative-ai-tools)
### Official Policy, Frameworks, and Guidance
This section serves as a repository for policy documents, regulations, guidelines, and recommendations that govern the ethical and responsible use of artificial intelligence and machine learning technologies. From international legal frameworks to specific national laws, the resources cover a broad spectrum of topics such as fairness, privacy, ethics, and governance.
#### Australia
* Department of Industry, Science and Resources
* [AI Governance: Leadership insights and the Voluntary AI Safety Standard in practice](https://www.industry.gov.au/news/ai-governance-leadership-insights-and-voluntary-ai-safety-standard-practice) | Department of Industry, Science and Resources
* [Artificial Intelligence Model Clauses](https://www.buyict.gov.au/sys_attachment.do?sys_id=e535e2ca935caa10438b39cdfaba103d) | Digital Transformation Agency, Version 2.0, March 2025
* [Australia’s AI Ethics Principles](https://www.industry.gov.au/publications/australias-artificial-intelligence-ethics-framework/australias-ai-ethics-principles)
* [Introducing mandatory guardrails for AI in high-risk settings: proposals paper](https://consult.industry.gov.au/ai-mandatory-guardrails)
* [The AI Impact Navigator](https://www.industry.gov.au/publications/ai-impact-navigator) | October 21, 2024
* [Voluntary AI Safety Standard](https://www.industry.gov.au/sites/default/files/2024-09/voluntary-ai-safety-standard.pdf) | August 2024
* Digital Transformation Agency
* [Evaluation of the whole-of-government trial of Microsoft 365 Copilot: Summary of evaluation findings](https://www.digital.gov.au/sites/default/files/documents/2024-10/Copilot%20Microsoft%20365%20summary%20of%20evaluation%20findings.pdf) | October 23, 2024
* [Policy for the responsible use of AI in government](https://www.digital.gov.au/sites/default/files/documents/2024-08/Policy%20for%20the%20responsible%20use%20of%20AI%20in%20government%20v1.1.pdf) | September 2024, Version 1.1
* Office of the Australian Information Commissioner
* [Guidance on privacy and developing and training generative AI models](https://www.oaic.gov.au/privacy/privacy-guidance-for-organisations-and-government-agencies/guidance-on-privacy-and-developing-and-training-generative-ai-models)
* [Guidance on privacy and the use of commercially available AI products](https://www.oaic.gov.au/privacy/privacy-guidance-for-organisations-and-government-agencies/guidance-on-privacy-and-the-use-of-commercially-available-ai-products)
* [National framework for the assurance of artificial intelligence in government](https://www.finance.gov.au/sites/default/files/2024-06/National-framework-for-the-assurance-of-AI-in-government.pdf)
* [Technical standard for government’s use of artificial intelligence](https://www.digital.gov.au/policy/ai/AI-technical-standard) | Digital Transformation Agency (DTA)
* [Testing the Reliability, Validity, and Equity of Terrorism Risk Assessment Instruments](https://www.homeaffairs.gov.au/foi/files/2023/fa-230400097-document-released-part-1.PDF)
* [Understanding Responsibilities in AI Practices](https://www.digital.nsw.gov.au/policy/artificial-intelligence/nsw-artificial-intelligence-assessment-framework/responsibilities) | NSW Digital Strategy
#### Brazil
* [Autoridade Nacional de Proteção de Dados, Technology Radar – short version in English, no. 1: Generative Artificial Intelligence](https://www.gov.br/anpd/pt-br/documentos-e-publicacoes/documentos-de-publicacoes/radar-tecnologico-inteligencia-artificial-generativa-versao-em-lingua-inglesa.pdf) | (ANPD, Brazilian Data Protection Authority)
#### Canada
* [A Regulatory Framework for AI: Recommendations for PIPEDA Reform](https://www.priv.gc.ca/en/about-the-opc/what-we-do/consultations/completed-consultations/consultation-ai/reg-fw_202011/)
* [An Act to enact the Consumer Privacy Protection Act, the Personal Information and Data Protection Tribunal Act and the Artificial Intelligence and Data Act and to make consequential and related amendments to other Acts](https://www.parl.ca/legisinfo/en/bill/44-1/c-27)
* [AI in Canada](https://oecd.ai/en/dashboards/countries/Canada) | OECD AI policies in Canada
* [Algorithmic Impact Assessment tool](https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/responsible-use-ai/algorithmic-impact-assessment.html)
* [Artificial Intelligence and Data Act](https://ised-isde.canada.ca/site/innovation-better-canada/en/artificial-intelligence-and-data-act)
* [The Artificial Intelligence and Data Act Companion document](https://ised-isde.canada.ca/site/innovation-better-canada/en/artificial-intelligence-and-data-act-aida-companion-document) | (AIDA)
* [Directive on Automated Decision Making](https://www.tbs-sct.gc.ca/pol/doc-eng.aspx?id=32592) | (Canada)
* [E-23 – Model Risk Management](https://www.osfi-bsif.gc.ca/en/guidance/guidance-library/draft-guideline-e-23-model-risk-management) | (Draft Guideline)
* [Responsible use of artificial intelligence in government](https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/responsible-use-ai.html) | Government of Canada
* [Transparency for machine learning-enabled medical devices: Guiding principles](https://www.canada.ca/en/health-canada/services/drugs-health-products/medical-devices/transparency-machine-learning-guiding-principles.html) | Health Canada
#### China
* [人工智能全球治理行动计划](https://www.gov.cn/yaowen/liebiao/202507/content_7033929.htm) | Action Plan on Global Governance of Artificial Intelligence, July 26, 2025
#### Colombia
* [Presidency of the Republic of Colombia, Marco Ético para la Inteligencia Artificial en Colombia](https://minciencias.gov.co/sites/default/files/marco-etico-ia-colombia-2021.pdf) | Ethical Framework for Artificial Intelligence in Colombia, November 2021
#### Costa Rica
* [Ministerio de Ciencia, Innovación, Tecnología y Telecomunicaciones](https://cambioclimatico.go.cr/wp-content/uploads/2023/06/Plan-Nacional-Ciencia-Tecnologia-Innovacion-2022-2027.pdf) | MICITT, Plan Nacional de Ciencia, Tecnología e Innovación 2022–2027
#### Denmark
* [National Strategy for Artificial Intelligence](https://en.digst.dk/media/lz0fxbt4/305755_gb_version_final-a.pdf) | Ministry of Finance and Ministry of Industry, Business and Financial Affairs, March 2019
#### Denmark
* Ministry of Finance and Ministry of Industry, Business and Financial Affairs, March 2019 | [National Strategy for Artificial Intelligence](https://en.digst.dk/media/lz0fxbt4/305755_gb_version_final-a.pdf)
#### Finland
* [Finland's Age of Artificial Intelligence: Turning Finland into a leading country in the application of artificial intelligence. Objective and recommendations for measures](https://julkaisut.valtioneuvosto.fi/bitstream/handle/10024/160391/TEMrap_47_2017_verkkojulkaisu.pdf) | Ministry of Economic Affairs and Employment
#### France
* [Challenges and opportunities of artificial intelligence in the fight against information manipulation](https://www.sgdsn.gouv.fr/files/files/Publications/20250207_NP_SGDSN_VIGINUM_Rapport%20menace%20informationnelle%20IA_EN_0.pdf) | VIGINUM, February 7, 2025
* [Gouvernance des algorithmes d’intelligence artificielle dans le secteur financier](https://acpr.banque-france.fr/sites/default/files/medias/documents/20200612_gouvernance_evaluation_ia.pdf) | (France)
#### Germany
* Bundesamt für Sicherheit in der Informationstechnik
* [Generative AI Models - Opportunities and Risks for Industry and Authorities](https://www.bsi.bund.de/SharedDocs/Downloads/EN/BSI/KI/Generative_AI_Models.html)
* [German-French recommendations for the use of AI programming assistants](https://www.bsi.bund.de/SharedDocs/Downloads/EN/BSI/KI/ANSSI_BSI_AI_Coding_Assistants.html)
* [Germany AI Strategy Report](https://ai-watch.ec.europa.eu/countries/germany/germany-ai-strategy-report_en)
* [OECD-Bericht zu Künstlicher Intelligenz in Deutschland](https://www.ki-strategie-deutschland.de/files/downloads/OECD-Bericht_K%C3%BCnstlicher_Intelligenz_in_Deutschland.pdf)
* [Recommendations of the Data Ethics Commission for the Federal Government's Strategy on Artificial Intelligence,](https://www.bmi.bund.de/SharedDocs/downloads/EN/themen/it-digital-policy/recommendations-data-ethics-commission.pdf?__blob=publicationFile&v=3) | Daten Ethik Kommission, October 9, 2018
#### Hong Kong
* [Artificial Intelligence: Model Personal Data Protection Framework](https://www.pcpd.org.hk/english/resources_centre/publications/files/ai_protection_framework.pdf) | Office of the Privacy Commissioner for Personal Data, June 2024
#### Iceland
* Ministry of Higher Education, Industry, and Innovation
* [Aðgerðaáætlun um gervigreind 2024-2026](https://samradapi.island.is/api/Documents/1d4c7cba-fd9c-ef11-9bc7-005056bcce7e) | Action Plan for Artificial Intelligence 2024-2026 | November 2024
* [Efnahagsleg tækifæri gervigreindar á Íslandi](https://samradapi.island.is/api/Documents/1e4c7cba-fd9c-ef11-9bc7-005056bcce7e) | Economic Opportunities of Artificial Intelligence in Iceland, Statistics Iceland
#### India
* [Stakeholders consultation on "Draft Standard for the Schema and Taxonomy of an AI Incident Database in Telecommunications and Critical Digital Infrastructure"](https://www.tec.gov.in/pdf/consultations/TEC_57090.pdf) | Telecommunications Engineering Centre, May 27, 2025
#### Ireland
* [AI - Here for Good: A National Artificial Intelligence Strategy for Ireland](https://enterprise.gov.ie/en/publications/publication-files/national-ai-strategy.pdf)
* [AI Standards & Assurance Roadmap: Action under 'AI - Here for Good,' the National Artificial Intelligence Strategy for Ireland](https://www.nsai.ie/images/uploads/general/NSAI_AI_report_digital_links.pdf) | National Standards Authority of Ireland, Top Team on Standards in AI, July 2023
* [Artificial Intelligence: Friend or Foe? Summary and Public Policy Considerations](https://www.gov.ie/pdf/?file=https://assets.gov.ie/295620/f11c6c66-4012-49fa-bb7f-8f14130f6fa5.pdf) | Department of Finance and Department of Enterprise, Trade and Employment, June 2024
* [Interim Guidelines for Use of AI in the Public Service](https://assets.gov.ie/280459/73ce75af-0015-46af-a9f6-b54f0a3c4fd0.pdf) | Department of Public Expenditure, NDP Delivery and Reform, February 2024
* [Ireland's National AI Strategy: AI - Here for Good](https://enterprise.gov.ie/en/publications/publication-files/national-ai-strategy-refresh-2024.pdf) | Refresh 2024
#### Jamaica
* [National Artificial Intelligence Policy Recommendations](https://opm.gov.jm/wp-content/uploads/2025/02/National-Artificial-Intelligence-Task-Force-Policy-Recommendations-Final-1.pdf) | National Artificial Intelligence Task Force, September 2024
#### Japan
* Japan AI Safety Institute
* [Guide to Evaluation Perspectives on AI Safety](https://aisi.go.jp/assets/pdf/ai_safety_eval_v1.01_en.pdf) | (Version 1.01), September 25, 2024
* [Guide to Red Teaming Methodology on AI Safety](https://aisi.go.jp/assets/pdf/ai_safety_RT_v1.00_en.pdf) | (Version 1.00), September 25, 2024
#### Kenya
* [Diplomat's Playbook on Artificial Intelligence—Shaping a Safe, Secure, Inclusive, and Trustworthy AI Future: Kenya's Strategic Leadership in AI Global Diplomacy](https://mfa.go.ke/sites/default/files/2025-01/DIPLOMATS%20AI%20PLAYBOOK%20FINAL.pdf) | Ministry of Foreign and Diaspora Affairs, State Department for Foreign Affairs, and the Office of the Special Envoy on Technology
* [Kenya Artificial Intelligence Strategy 2025-2030](https://ict.go.ke/sites/default/files/2025-03/Kenya%20AI%20Strategy%202025%20-%202030.pdf) | March 2025
#### Malaysia
* [The National Guidelines on AI Governance & Ethics](https://mastic.mosti.gov.my/publication/the-national-guidelines-on-ai-governance-ethics/)
#### Mexico
* [Recomendaciones para el Tratamiento de Datos Personales Derivado del Uso de la Inteligencia Artificial](https://home.inai.org.mx/wp-content/documentos/DocumentosSectorPublico/RecomendacionesPDP-IA.pdf) | Instituto Nacional de Transparencia, Acceso a la Información y Protección de Datos Personales (INAI), June 2024
#### Moldova
* Ministry of Economic Development and Digitalization
* [Cartea Albă cu Privire la Inteligența Artificială și Guvernanța Datelor](https://drive.google.com/file/d/1MDEGQ3snOiYXeM5G1YZfV8yH6ZFWxVTJ/view) | 2024
* [White Book on Artificial Intelligence and Data Governance](https://drive.google.com/file/d/1d2VmubZJjwVjzxUT4gjJE7DXTinzdyfO/view?usp=sharing) | 2024
#### Netherlands
* [AI Impact Assessment: The tool for a responsible AI project](https://www.government.nl/binaries/government/documenten/publications/2023/03/02/ai-impact-assessment/2024-IWM-AI-Impact-assessment-2.0-EN.pdf) | Ministry of Infrastructure and Water Management
* Autoriteit Persoonsgegevens
* [Call for input on prohibition on AI systems for emotion recognition in the areas of workplace or education institutions](https://www.autoriteitpersoonsgegevens.nl/en/documents/call-for-input-on-prohibition-on-ai-systems-for-emotion-recognition-in-the-areas-of-workplace-or-education-institutions) | October 31, 2024
* [AScraping bijna altijd illegal](https://www.autoriteitpersoonsgegevens.nl/actueel/ap-scraping-bijna-altijd-illegaal) | Dutch Data Protection Authority, "Scraping is always illegal"
* [General principles for the use of Artificial Intelligence in the financial sector](https://www.dnb.nl/media/jkbip2jc/general-principles-for-the-use-of-artificial-intelligence-in-the-financial-sector.pdf)
#### New Zealand
* [Accredited Employer Work Visa: Use of Adept for Automated Processing of Migrant Gateway](https://www.mbie.govt.nz/dmsdocument/28176-accredited-employer-work-visa-use-of-adept-for-automated-processing-of-migrant-gateway) | Ministry of Business, Innovation & Employment, June 28, 2022
* [Advanced AI evaluations at AISI: May update](https://www.aisi.gov.uk/work/advanced-ai-evaluations-may-update) | AI Safety Institute (AISI)
* [Algorithm Assessment Report](https://www.data.govt.nz/assets/Uploads/Algorithm-Assessment-Report-Oct-2018.pdf) | Internal Affairs and Stats NZ, October 2018
* [Algorithm Charter for Aotearoa New Zealand](https://data.govt.nz/assets/data-ethics/algorithm/Algorithm-Charter-2020_Final-English-1.pdf)
* [Algorithm impact assessment user guide: Algorithm Charter for Aotearoa New Zealand](https://www.data.govt.nz/assets/data-ethics/algorithm/AIA-user-guide.pdf) | December 2023
* [Artificial intelligence frameworks and regulation: An intelligence perspective](https://igis.govt.nz/assets/Uploads/FINAL-Part-1_-Global-AI-frameworks-and-regulation.pdf) | Inspector-General of Intelligence and Security, August 2024
* [Automated decision-making in MSD: Proposed legislative and policy framework](https://www.msd.govt.nz/documents/about-msd-and-our-work/publications-resources/official-information-responses/2022/july/07072022-requesting-the-document-automated-decision-making-in-msd-proposed-legislative-and-policy-framework-memo-.pdf) | Ministry of Social Development, May 5, 2021
* [Automated Decision Making Standard](https://www.msd.govt.nz/documents/about-msd-and-our-work/publications-resources/official-information-responses/2022/july/07072022-requesting-the-document-automated-decision-making-in-msd-proposed-legislative-and-policy-framework-document-.pdf) | March 1, 2023
* [Callaghan Innovation, EU AI Fact Sheet 4, High-risk AI systems](https://www.callaghaninnovation.govt.nz/assets/documents/Resource-EU-AI-Act-Support/EU-AI-Policy-Fact-Sheet-4-High-Risk-AI-Systems.pdf)
* [Discussion Paper: International Data Ethics Frameworks](https://data.govt.nz/assets/Uploads/Discussion-paper-International-data-ethics-frameworks-March-2020.pdf) | Prepared on behalf of the Government Chief Data Steward for the Data Ethics Advisory Group (DEAG)
* [Government Use of Artificial Intelligence in New Zealand: Final Report on Phase 1 of the New Zealand Law Foundation's Artificial Intelligence and Law in New Zealand Project](https://www.data.govt.nz/assets/data-ethics/algorithm/NZLF-report.pdf) | 2019
* [Initial advice on Generative Artificial Intelligence in the public service](https://www.digital.govt.nz/assets/Standards-guidance/Technology-and-architecture/Generative-AI/Joint-System-Leads-tactical-guidance-on-public-service-use-of-GenAI-September-2023.pdf) | July 2023
* [New Zealand Income Insurance: service model and automated decision making](https://www.mbie.govt.nz/dmsdocument/26492-nzii-service-model-and-adm-pdf) | Ministry of Business, Innovation & Employment
* [New Zealand's Strategy for Artificial Intelligence: Investing with confidence](https://www.mbie.govt.nz/assets/new-zealands-strategy-for-artificial-intelligence.pdf) | Ministry of Business, Innovation & Employment, Accelerating Private Sector AI Adoption and Innovation, July 2025
* [Public Scrutiny of Automated Decisions: Early Lessons and Emerging Methods](https://www.data.govt.nz/assets/Uploads/Public-Scrutiny-of-Automated-Decisions.pdf) | An Upturn and Omidyar Network Report
#### Nigeria
* [NAIS National Artificial Intelligence Strategy](https://ncair.nitda.gov.ng/wp-content/uploads/2024/08/National-AI-Strategy_01082024-copy.pdf) | National Center for Artificial Intelligence & Robotics (NCAIR) and the National Information Technology Development Agency (NITDA), August 2024
#### Norway
* [Artificial Intelligence and Democratic Elections — International Experiences and National Recommendations](https://www.regjeringen.no/contentassets/23f8fd1726634f589724d96b49fe994c/en_rapport-ekspertgruppe-ki-og-valg.pdf) | Ministry of Local Government and Regional Development, Expert Group on Artificial Intelligence and Elections, February 2025
* [National Strategy for Artificial Intelligence](https://www.regjeringen.no/contentassets/1febbbb2c4fd4b7d92c67ddd353b6ae8/en-gb/pdfs/ki-strategi_en.pdf) | Ministry of Local Government and Modernisation
#### Philippines
#### Sierra Leone
* [Artificial Intelligence and Automation: Preserving Human Agency in a World of Automation](https://statehouse.gov.sl/wp-content/uploads/2025/01/H.E.KEYNOTE-ACE-EDUCATION-WEEK-2025-JAN-2025-3.pdf) | Keynote Statement on the Annual Celebration of Education Week (ACE Week) 2025 by His Excellency, Dr. Julius Maada Bio, President of the Republic of Sierra Leone at Makeni, Sierra Leone, Friday, 24th January 2025
#### Singapore
* [Artificial Intelligence Model Risk Management: Observations from a Thematic Review](https://www.mas.gov.sg/-/media/mas-media-library/publications/monographs-or-information-paper/imd/2024/information-paper-on-ai-risk-management-final.pdf) | Monetary Authority of Singapore, Information Paper, December 2024
* Personal Data Protection Commission (PDPC)
* [Companion to the Model AI Governance Framework – Implementation and Self-Assessment Guide for Organizations](https://www.pdpc.gov.sg/-/media/files/pdpc/pdf-files/resource-for-organisation/ai/sgisago.pdf)
* [Compendium of Use Cases: Practical Illustrations of the Model AI Governance Framework](https://www.pdpc.gov.sg/-/media/files/pdpc/pdf-files/resource-for-organisation/ai/sgaigovusecases.pdf)
* [Model Artificial Intelligence Governance Framework](https://www.pdpc.gov.sg/-/media/Files/PDPC/PDF-Files/Resource-for-Organisation/AI/SGModelAIGovFramework2.pdf) | (Second Edition)
* [Privacy Enhancing Technology: Proposed Guide on Synthetic Data Generation](https://www.pdpc.gov.sg/-/media/files/pdpc/pdf-files/other-guides/proposed-guide-on-synthetic-data-generation.pdf)
#### South Africa
* [Computer Applications Technology: Learner Guidelines for Practical Assessment Tasks, Grade 12, 2025](https://www.education.gov.za/Portals/0/CD/2025%20PATs/Computer%20Applications%20Technology%20PAT%20GR%2012%202025%20Learner%20Guidelines%20Eng.pdf?ver=2025-02-11-163720-737) | Department of Basic Education
* [South Africa's Artificial Intelligence Planning: Adoption of AI by Government](https://www.dcdt.gov.za/images/phocadownload/AI_Government_Summit/National_AI_Government_Summit_Discussion_Document.pdf) | Department of Communications & Digital Technologies and the Artificial Intelligence Institute of South Africa, October 2023
#### South Korea
* [AI Safety Institute of Korea](https://www.aisi.re.kr/eng)
* [Basic Act on the Promotion of Artificial Intelligence Development and Establishment of a Trust Framework](https://likms.assembly.go.kr/bill/billDetail.do?billId=PRC_R2V4H1W1T2K5M1O6E4Q9T0V7Q9S0U0) | National Assembly, 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법안, (대안,Alternative Draft)
* [인공지능 발전과 신뢰 기반 조성 등에 관한 기본법](https://www.law.go.kr/%25EB%25B2%2595%25EB%25A0%25B9/%25EC%259D%25B8%25EA%25B3%25B5%25EC%25A7%2580%25EB%258A%25A5%2520%25EB%25B0%259C%25EC%25A0%2584%25EA%25B3%25BC%2520%25EC%258B%25A0%25EB%25A2%25B0%2520%25EA%25B8%25B0%25EB%25B0%2598%2520%25EC%25A1%25B0%25EC%2584%25B1%2520%25EB%2593%25B1%25EC%2597%2590%2520%25EA%25B4%2580%25ED%2595%259C%2520%25EA%25B8%25B0%25EB%25B3%25B8%25EB%25B2%2595/%2820676,20250121%29) | Ministry of Science and ICT, Framework Act on the Development of Artificial Intelligence and Creation of a Trust Foundation, January 21, 2025
* [생성형 인공지능(AI) 개발·활용을 위한 개인정보 처리 안내서(안)](https://www.aitimes.kr/news/download.php?subUploadDir=202508/&savefilename=35952_300.pdf&filename=%EC%83%9D%EC%84%B1%ED%98%95%20%EC%9D%B8%EA%B3%B5%EC%A7%80%EB%8A%A5(AI)%20%EA%B0%9C%EB%B0%9C%C2%B7%ED%99%9C%EC%9A%A9%EC%9D%84%20%EC%9C%84%ED%95%9C%20%EA%B0%9C%EC%9D%B8%EC%A0%95%EB%B3%B4%20%EC%B2%98%EB%A6%AC%20%EC%95%88%EB%82%B4%EC%84%9C.pdf&idxno=300) | Personal Information Protection Commission, Guidelines on Personal Information Processing for the Development and Utilization of Generative Artificial Intelligence (Draft), August 2025
#### Switzerland
* [Digital Switzerland Strategy 2025](https://digital.swiss/userdata/uploads/strategie-dch-en.pdf)
#### Tanzania
* [Artificial Intelligence Readiness Assessment Report](https://tanzania.un.org/sites/default/files/2025-07/National%20AI%20Readiness%20Report.pdf) | UNESCO, 2025
#### Ukraine
* Ministry of Digital Transformation
* [White Paper on Artificial Intelligence Regulation in Ukraine: Vision of the Ministry of Digital Transformation of Ukraine](https://thedigital.gov.ua/storage/uploads/files/page/community/docs/%D0%91%D1%96%D0%BB%D0%B0_%D0%BA%D0%BD%D0%B8%D0%B3%D0%B0_%D0%B7_%D1%80%D0%B5%D0%B3%D1%83%D0%BB%D1%8E%D0%B2%D0%B0%D0%BD%D0%BD%D1%8F_%D0%A8%D0%86_%D0%B2_%D0%A3%D0%BA%D1%80%D0%B0%D1%97%D0%BD%D1%96_%D0%90%D0%9D%D0%93%D0%9B.pdf) | Version for Consultation
* [Дорожня карта з регулювання штучного інтелекту в Україні: Bottom-Up Підхід](https://cms.thedigital.gov.ua/storage/uploads/files/page/community/docs/%D0%94%D0%BE%D1%80%D0%BE%D0%B6%D0%BD%D1%8F_%D0%BA%D0%B0%D1%80%D1%82%D0%B0_%D0%B7_%D1%80%D0%B5%D0%B3%D1%83%D0%BB%D1%8E%D0%B2%D0%B0%D0%BD%D0%BD%D1%8F_%D0%A8%D0%86_%D0%B2_%D0%A3%D0%BA%D1%80%D0%B0%D1%97%D0%BD%D1%96_compressed.pdf)
* [Guidelines on the Responsible Use of Artificial Intelligence in the News Media](https://webportal.nrada.gov.ua/wp-content/uploads/2024/05/Ukraine-AI-Guidelines-for-Media.pdf) | Ministry of Digital Transformation, Ministry of Culture and Information Policy, and National Council of Television and Radio Broadcasting
#### United Kingdom
* [AI and the Law: A Discussion Paper](https://cloud-platform-e218f50a4812967ba1215eaecede923f.s3.amazonaws.com/uploads/sites/54/2025/07/AI-paper-PDF.pdf) | Law Commission, 2025
* [AI Safety Institute, Safety cases at AISI](https://www.aisi.gov.uk/work/safety-cases-at-aisi) | (AISI)
* [Artificial Intelligence Playbook for the UK Government](https://assets.publishing.service.gov.uk/media/67aca2f7e400ae62338324bd/AI_Playbook_for_the_UK_Government__12_02_.pdf) | Government Digital Service and Department for Science, Innovation & Technology, February 2025
* [Beginner's guide to measurement GPG118](https://www.npl.co.uk/gpgs/beginners-guide-to-measurement) | National Physical Laboratory (NPL)
* Department for Science, Innovation and Technology
* [The Bletchley Declaration by Countries Attending the AI Safety Summit](https://www.gov.uk/government/publications/ai-safety-summit-2023-the-bletchley-declaration/the-bletchley-declaration-by-countries-attending-the-ai-safety-summit-1-2-november-2023) | 1-2 November 2023
* [Evaluation of the Cyber AI Hub programme | January 8, 2025](https://www.gov.uk/government/publications/evaluation-of-the-northern-ireland-cyber-ai-hub-programme/evaluation-of-the-cyber-ai-hub-programme)
* [Frontier AI: capabilities and risks](https://www.gov.uk/government/publications/frontier-ai-capabilities-and-risks-discussion-paper)
* [Generative Artificial Intelligence in the Education System](https://www.niassembly.gov.uk/globalassets/documents/raise/publications/2022-2027/2025/education/2725.pdf) | Northern Ireland Assembly, Research and Information Service, March 20, 2025
* [Global Coalition on Telecommunications: principles on AI adoption in the telecommunications industry](https://www.gov.uk/government/publications/global-coalition-on-telecommunications-principles-on-ai-adoption-in-the-telecommunications-industry/global-coalition-on-telecommunications-principles-on-ai-adoption-in-the-telecommunications-industry) | January 16, 2025
* [Introduction to AI Assurance](https://www.gov.uk/government/publications/introduction-to-ai-assurance)
* [Information Commissioner's Office, AI tools in recruitment](https://ico.org.uk/action-weve-taken/audits-and-overview-reports/ai-tools-in-recruitment/) | ICO, November 6, 2024
* [International Scientific Report on the Safety of Advanced AI](https://www.gov.uk/government/publications/international-scientific-report-on-the-safety-of-advanced-ai) | Department for Science, Innovation and Technology and AI Safety Institute
* [Media literacy](https://publications.parliament.uk/pa/ld5901/ldselect/ldcomm/163/163.pdf) | House of Lords Communications and Digital Committee, 3rd Report of Session 2024-25
* [Northern Ireland response to the AI Council AI Roadmap](https://matrixni.org/wp-content/uploads/2021/04/NI-Response-to-UK-AI-roadmap.pdf)
* [Online Harms White Paper: Full government response to the consultation](https://www.gov.uk/government/consultations/online-harms-white-paper)
* [Parliamentary Office of Science and Technology](https://researchbriefings.files.parliament.uk/documents/POST-PN-0735/POST-PN-0735.pdf) | (POST), POSTnote 735, Energy Security and AI
* [The Public Sector Bodies Accessibility Regulations 2018](https://www.legislation.gov.uk/uksi/2018/852/contents/made) | (Websites and Mobile Applications)
* [Red Teaming for GenAI Harms: Revealing the Risks and Rewards for Online Safety | July 23, 2024](https://www.ofcom.org.uk/siteassets/resources/documents/consultations/discussion-papers/red-teaming/red-teaming-for-gen-ai-harms.pdf?v=370762) | Ofcom
* [The safe and effective use of AI in education: Leadership toolkit video transcripts](https://assets.publishing.service.gov.uk/media/6842e04ee5a089417c8060c5/Leadership_Toolkit_-_Transcript.pdf) | Department of Education, June 2025
* [Trusted third-party AI assurance roadmap](https://www.gov.uk/government/publications/trusted-third-party-ai-assurance-roadmap/trusted-third-party-ai-assurance-roadmap) | Department for Science, Innovation & Technology, September 3, 2025
* [US AISI and UK AISI Joint Pre-Deployment Test: Anthropic's Claude 3.5 Sonnet](https://www.nist.gov/system/files/documents/2024/11/19/Upgraded%20Sonnet-Publication-US.pdf) | October 2024 Release
* [US AISI and UK AISI Joint Pre-Deployment Test: OpenAI o1](https://www.nist.gov/system/files/documents/2024/12/18/US_UK_AI%20Safety%20Institute_%20December_Publication-OpenAIo1.pdf) | December 2024
* [Use of AI in Legislatures](https://www.niassembly.gov.uk/globalassets/documents/raise/publications/2022-2027/2025/clg/3325.pdf) | Northern Ireland Assembly, September 2024
#### United States (Federal Government)
**Bureau of Labor Statistics**
* [Bureau of Labor Statistics Report to the Committees on Appropriations of the House of Representatives and the Senate on Measuring the Effects of New Technologies on the American Workforce](https://www.bls.gov/bls/congressional-reports/measuring-the-effects-of-new-technologies-on-the-american-workforce.pdf)
* [Incorporating AI impacts in BLS employment projections: occupational case studies](https://www.bls.gov/opub/mlr/2025/article/incorporating-ai-impacts-in-bls-employment-projections.htm) | February 2025
**Consumer Financial Protection Bureau (CFPB)**
* [12 CFR Part 1002 - Equal Credit Opportunity Act](https://www.consumerfinance.gov/policy-compliance/rulemaking/regulations/1002/) | (Regulation B)
* [Chatbots in consumer finance](https://www.consumerfinance.gov/data-research/research-reports/chatbots-in-consumer-finance/chatbots-in-consumer-finance/)
* [Innovation spotlight: Providing adverse action notices when using AI/ML models](https://www.consumerfinance.gov/about-us/blog/innovation-spotlight-providing-adverse-action-notices-when-using-ai-ml-models/)
**Commodity Futures Trading Commission (CFTC)**
* [A Primer on Artificial Intelligence in Securities Markets](https://www.cftc.gov/media/2846/LabCFTC_PrimerArtificialIntelligence102119/download)
* [Responsible Artificial Intelligence in Financial Markets](https://www.cftc.gov/PressRoom/PressReleases/8905-24)
**Congressional Budget Office**
* [H.R. 9720, AI Incident Reporting and Security Enhancement Act](https://www.cbo.gov/system/files/2024-10/hr9720.pdf)
**Congressional Research Service**
* [Artificial Intelligence in Health Care](https://crsreports.congress.gov/product/pdf/R/R48319) | December 30, 2024
* [Artificial Intelligence and Machine Learning in Financial Services](https://crsreports.congress.gov/product/pdf/R/R47997) | April 3, 2024
* [Artificial Intelligence: Background, Selected Issues, and Policy Considerations](https://crsreports.congress.gov/product/pdf/R/R46795) | May 19, 2021
* [Artificial Intelligence: Overview, Recent Advances, and Considerations for the 118th Congress](https://www.energy.gov/sites/default/files/2023-09/Artificial%20Intelligence%20Overview%2C%20Recent%20Advances%2C%20and%20Considerations%20for%20the%20118th%20Congress.pdf) | August 4, 2023
* [Highlights of the 2023 Executive Order on Artificial Intelligence for Congress](https://crsreports.congress.gov/product/pdf/R/R47843/2) | November 17, 2023
**Copyright Office**
* [Copyright and Artificial Intelligence Part 1 Digital Replicas](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-1-Digital-Replicas-Report.pdf) | July 2024
* [Copyright and Artificial Intelligence Part 2 Copyrightability](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-2-Copyrightability-Report.pdf) | January 2025
* [Copyright and Artificial Intelligence Part 3 Generative AI Training](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf) | May 2025
**Data.gov**
* [Privacy Policy and Data Policy](https://data.gov/privacy-policy/)
**Defense Advanced Research Projects Agency (DARPA)**
* [Explainable Artificial Intelligence](https://www.darpa.mil/program/explainable-artificial-intelligence) | (XAI) (Archived)
**Defense Technical Information Center**
* [Computer Security Technology Planning Study](https://apps.dtic.mil/sti/citations/AD0758206) | October 1, 1972
**Department of Agriculture (USDA)**
* [Fiscal Year 2025-2026 AI Strategy](https://www.usda.gov/sites/default/files/documents/fy-2025-2026-usda-ai-strategy.pdf)
**Department of Commerce**
* [Artificial intelligence](https://www.commerce.gov/issues/artificial-intelligence)
* [Bureau of Industry and Security](https://www.bis.gov/)
* [Department of Commerce Rescinds Biden-Era Artificial Intelligence Diffusion Rule, Strengthens Chip-Related Export Controls](https://media.bis.gov/sites/default/files/documents/05.07%20Recission%20of%20AI%20Diffusion%20Press%20Release.pdf) | Bureau of Industry and Security, May 12, 2025
* [Framework for Artificial Intelligence Diffusion](https://public-inspection.federalregister.gov/2025-00636.pdf)
* [Intellectual property](https://www.commerce.gov/issues/intellectual-property)
* [National Telecommunications and Information Administration](https://www.ntia.gov/) | (NTIA)
* [AI Accountability Policy Report](https://www.ntia.gov/issues/artificial-intelligence/ai-accountability-policy-report)
* [AI System Documentation](https://www.ntia.gov/issues/artificial-intelligence/ai-accountability-policy-report/developing-accountability-inputs-a-deeper-dive/information-flow/ai-system-documentation)
* [Internet Policy Task Force, Commercial Data Privacy and Innovation in the Internet Economy: A Dynamic Policy Framework](https://www.ntia.doc.gov/files/ntia/publications/iptf_privacy_greenpaper_12162010.pdf)
* [NTIA Artificial Intelligence Accountability Policy Report](https://www.ntia.gov/sites/default/files/publications/ntia-ai-report-final.pdf) | March 2024
* [National Institute of Standards and Technology](https://www.nist.gov/)
* [Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations](https://csrc.nist.gov/pubs/ai/100/2/e2023/final) | NIST AI 100-2 E2023
* [Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations updated](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-2e2025.pdf) | NIST AI 100-2e2025
* [Artificial Intelligence Risk Management Framework](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf) | AI 100-1 (NIST AI RMF 1.0)
* [Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf) | NIST AI 600-1
* [Assessing Risks and Impacts of AI](https://ai-challenges.nist.gov/aria/library) | (ARIA)
* [De-identification Tools](https://www.nist.gov/itl/applied-cybersecurity/privacy-engineering/collaboration-space/focus-areas/de-id/tools)
* [Engineering Statistics Handbook](https://doi.org/10.18434/M32189)
* [Four Principles of Explainable Artificial Intelligence](https://www.nist.gov/system/files/documents/2020/08/17/NIST%20Explainable%20AI%20Draft%20NISTIR8312%20%281%29.pdf) | Draft NISTIR 8312, 2020-08-17
* [Four Principles of Explainable Artificial Intelligence](https://www.nist.gov/publications/four-principles-explainable-artificial-intelligence) | NISTIR 8312, 2021-09-29
* [Guide for Conducting Risk Assessments](https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-30r1.pdf) | NIST Special Publication 800-30 Revision 1,
* [Measurement Uncertainty](https://www.nist.gov/itl/sed/topic-areas/measurement-uncertainty)
* [International Bureau of Weights and Measures, Evaluation of measurement data—Guide to the expression of uncertainty in measurement](https://www.bipm.org/docu