https://bnh-ai.github.io/resources/

https://bnh-ai.github.io/resources/

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• Host: GitHub
• URL: https://bnh-ai.github.io/resources/
• Owner: bnh-ai
• License: other
• Created: 2020-06-07T16:49:38.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2021-02-08T14:59:17.000Z (over 3 years ago)
• Last Synced: 2024-03-23T12:45:35.266Z (3 months ago)
• Language: HTML
• Homepage: https://bnh-ai.github.io/resources/
• Size: 1.29 MB
• Stars: 27
• Watchers: 6
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Lists

• awesome-machine-learning-interpretability - Sample AI Incident Response Checklist

README

        
## Sample AI Incident Response Checklist

* [Getting Started - Liability Triage](bnh.ai-AI-IR-Checklist-Liability-Triage.pdf)


* [Phase I - Preparation](bnh.ai-AI-IR-Checklist-Preparation.pdf)


* [Phase II - Identification](bnh.ai-AI-IR-Checklist-Identification.pdf)


* [Phase III - Containment](bnh.ai-AI-IR-Checklist-Containment.pdf)


* [Phase IV - Eradication](bnh.ai-AI-IR-Checklist-Eradication.pdf)


* [Phase V - Recovery](bnh.ai-AI-IR-Checklist-Recovery.pdf)


* [Phase VI - Lessons Learned](bnh.ai-AI-IR-Checklist-Lessons-Learned.pdf)


* [List of References](bnh.ai-AI-IR-Checklist-References.pdf)


The above resources are shared under a [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) license. 

***

## Select BNH.AI Publications

* [10 Questions on AI Risk - Future of Privacy Forum](https://fpf.org/wp-content/uploads/2020/06/Ten-Questions-on-AI-Risk-FPF.pdf) 

* [What to Do When AI Fails: Guidelines for AI Incident Response - O'Reilly Radar](https://www.oreilly.com/radar/what-to-do-when-ai-fails/)

* [How to Fight Discrimination in AI - Harvard Business Review](https://hbr.org/2020/08/how-to-fight-discrimination-in-ai)

* [Build Your AI Incident Response Plan… Before It’s Too Late - Cyber Defense Magazine](https://www.cyberdefensemagazine.com/build-your-ai-incident-response-plan/)

* [Why You Should Care About Debugging Machine Learning Models - O'Reilly Radar](https://www.oreilly.com/radar/why-you-should-care-about-debugging-machine-learning-models/)

* [The Liabilities of Artificial Intelligence Are Increasing - Law.com](https://www.law.com/legaltechnews/2020/06/15/the-liabilities-of-artificial-intelligence-are-increasing/)

* [Ethical Frameworks for AI Aren’t Enough - Harvard Business Review](https://hbr.org/2020/11/ethical-frameworks-for-ai-arent-enough)

* [AI/ML Risk & Security Working Group Whitepaper - Artificial Intelligence for Business at Wharton](https://ai.wharton.upenn.edu/artificial-intelligence-risk-governance/)

* [Seven Legal Questions for Data Scientists - O'Reilly Radar](https://www.oreilly.com/radar/seven-legal-questions-for-data-scientists/)

***

## Select Regulatory Guidance on AI

* [Directive on Automated Decision-Making - Canada](https://www.tbs-sct.gc.ca/pol/doc-eng.aspx?id=32592)

* [Algorithm Charter for Aotearoa - New Zealand](https://data.govt.nz/assets/data-ethics/algorithm/Algorithm-Charter-2020_Final-English-1.pdf)

* [Auditing Framework for AI and Its Core Components - UK Information Commissioner's Office](https://ico.org.uk/about-the-ico/news-and-events/ai-blog-an-overview-of-the-auditing-framework-for-artificial-intelligence-and-its-core-components/)

* [Supervisory Guidance on Model Risk Management - US Federal Reserve Board](https://www.federalreserve.gov/supervisionreg/srletters/sr1107a1.pdf)

* [Model AI Governance Framework - Singapore Personal Data Protection Commission](https://www.pdpc.gov.sg/Help-and-Resources/2020/01/Model-AI-Governance-Framework)

***

Comments or questions? Please reach out to [[email protected]](mailto:[email protected]). 













Disclaimer: bnh.ai leverages a unique blend of legal and technical expertise to protect and advance clients’ data, analytics, and AI investments. Not all firm personnel, including named partners, are authorized to practice law.