Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Machine-Learning-Ethics-References
List of references about Machine Learning bias and ethics
https://github.com/radames/Machine-Learning-Ethics-References
- Cathy O’Neil Twitter Discussion 'Algorithms are a threat to society and so far, academia is asleep at the wheel.'
- AI Ethics on Reddit
- (HN) Attacking discrimination with smarter machine learning
- (HN) Cathy O’Neil on Weapons of Math Destruction
- (HN) on Neural Net Trained on Mugshots Predicts Criminals
- (HN) Justice.exe: Bias in Algorithmic sentencing
- EconTalk Episode with Cathy O'Neil
- Machine Ethic Podcasts
- Ethics of Artificial Intelligence conference NYU 2016
- A Story of Discrimination and Unfairness - Aylin Caliskan 33c3 2016
- AI Now 2017 Symposium
- The Trouble with Bias - NIPS 2017 Keynote
- Eyeo 2018 - Meredith Whittaker - DATA GENESIS: AI'S PRIMORDIAL SOUP
- "Privacy: the Last Stand for Fair Algorithms" by Katharine Jarmul
- Bias in Computer Systems
- Equality of Opportunity in Supervised Learning
- Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models
- The Ethics of Artificial Intelligence
- Automated Inference on Criminality using Face Images
- Semantics derived automatically from language corpora contain human-like biases
- European Union regulations on algorithmic decision-making and a "right to explanation"
- Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
- Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
- Deep neural networks are more accurate than humans at detecting sexual orientation from facial images.
- Delayed Impact of Fair Machine Learning
- Bias detectives: the researchers striving to make algorithms fair
- No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World
- Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
- Interpretable Machine Learning A Guide for Making Black Box Models Explainable.
- Fairness and machine learning book
- Algorithms: AI’s creepy control must be open to inspection
- AI watchdog needed to regulate automated decision-making, say experts
- Scholars Delve Deeper Into The Ethics Of Artificial Intelligence
- ProPublica series on Machine Bias
- Artificial Intelligence’s White Guy Problem
- Neural Net Trained on Mugshots Predicts Criminals
- Attacking discrimination with smarter machine learning
- The Ethical Data Scientis
- Machine Bias
- Machine Bias - How We Analyzed the COMPAS Recidivism Algorithm
- ProPublica Responds to Company’s Critique of Machine Bias Story
- Are Machines Biased, or Are We Biased Against Machines?
- Artificial Intelligence’s White Guy Problem
- Buyer Beware: A hard look at police ‘threat scores.’
- Computer and Information Ethics
- Social Networking and Ethics
- Internet Research Ethics
- Search Engines and Ethics
- How a Machine Learns Prejudice
- Courts Are Using AI to Sentence Criminals. That Must Stop Now
- Sent to Prison by a Software Program’s Secret Algorithms
- Even artificial intelligence can acquire biases against race and gender
- Inspecting Algorithms for Bias
- If you’re not a white male, artificial intelligence’s use in healthcare could be dangerous
- Biased Algorithms Are Everywhere, and No One Seems to Care
- Turns Out Algorithms Are Racist
- Machines Taught by Photos Learn a Sexist View of Women
- How Tech Giants Are Devising Real Ethics for Artificial Intelligence
- New AI can guess whether you're gay or straight from a photograph
- Something is wrong on the internet, on youtube automated videos by James Bridle
- Trump’s “extreme-vetting” software will discriminate against immigrants “under a veneer of objectivity,” say experts
- ACLU calls out Amazon, Washington Co. sheriff's office for facial recognition tech
- This startup’s racial-profiling algorithm shows AI can be dangerous way before any robot apocalypse
- Facial recognition software is not ready for use by law enforcement
- Prescription: AI - Quartz series
- Amazon scraps secret AI recruiting tool that showed bias against women
- A skeptic’s guide to thinking about AI - on AI Now 2018
- Machine ethics: The robot’s dilemma
- Morals and the machine
- Robotics: Ethics of artificial intelligence
- Do no harm, don't discriminate: official guidance issued on robot ethics
- "RoboCop” assignment Columbia University NYPD’s “Stop, Question and Frisk” records
- Professor Satyen Kale Responds to ‘RoboCop’ Machine Learning Assignment
- White House document: Preparing for the Future of Artificial Intelligence
- Justice.exe - Educative Game
- mathwashing
- ConceptNet Numberbatch 17.04: better, less-stereotyped word vectors
- Research on Algorithmic Fairness, haverford
- NORMAN World's first psychopath AI
- AI can be sexist and racist — it’s time to make it fair
- ARTIFICIAL INTELLIGENCE AND LIFE IN 2030 - 2016 Report
- AI Now Report 2018.pdf
- AI Now 2019 Discriminating Systems: Gender, Race, and Power in AI
- Workshop on Fairness, Accountability, and Transparency in Machine Learning
- AI Now
- Ethics of Artificial Intelligence
- Black in AI
- Algorithms and Explanations
- Machine Learning and the Law
- Ethics in Mathematics - Cambridge University
- AI Now 2018 Symposium - video
- AI Now 2019 Symposium - video
- Fairness in Machine Learning
- INFO 4270: ETHICS AND POLICY IN DATA SCIENCE
- CS109: Ethical Foundations of Computer Science
- An Introduction to Data Ethics
- Machine Learning Fairness by Google
- A critical reading list for engineers, designers, and policy makers
- Awesome-Machine-Learning-Interpretability
- Fast AI Ethics Resources
- Kate Crawford
- Meredith Whittaker
- Kate Darling
- Cathy O'Neil
- Alan Winfield
- AI Now
- Algorithm Watch
- Moritz Hardt
- Solon Barocas
- Institute for Ethics and Emerging Technologies
- The Center for Technology, Society & Policy Berkley
- Zeynep Tufekci
- Data & Society
- PERVADE: Pervasive Data Ethics
- DataEthics
Programming Languages
Keywords
xai
1
transparency
1
secure-ml
1
reliable-ai
1
r
1
python
1
privacy-preserving-machine-learning
1
privacy-enhancing-technologies
1
machine-learning-interpretability
1
machine-learning
1
interpretable-ml
1
interpretable-machine-learning
1
interpretable-ai
1
interpretability
1
fairness
1
explainable-ml
1
data-science
1
awesome-list
1
awesome
1
ai-safety
1