Groups, seminars series, projects & calls that I found interesting (these are not exhaustive lists).

My page “What’s new in the field” [ Link ]

Groups

• Digital Ethics Lab, Oxford
• FATE: Fairness, Accountability, Transparency, and Ethics in AI, Microsoft
• Algorithmic Fairness and Opacity Group, UC Berkeley
• Interest group on Fairness, transparency, privacy, The Allan Turing Institute
• NoBIAS, A Marie Skłodowska-Curie Innovative Training Network
• Trustworthy ML Initiative

Seminars series (selected talks)

• Trustworthy ML, bi-weekly

Projects and Calls

• to be completed soon

Courses

• Choices and Consequences in Computing, Jon Kleinberg and Karen Levy, Cornell, 2021
• Fairness, Accountability and Transparency in ML by Suresh Venkatasubramanian, U. of Utah
• Computers, Ethics, and Public Policy, Stanford, 2020
• MA Internet Equalities, University of the Arts London

Resources

• Algorithmic Fairness by Suresh Venkatasubramanian, U. of Utah
• Papers with code – Fairness
• Fairness and Friends
• Fairness Measures
• Bias mitigation

Non-academic Resources

• Transparency and accountability: the challenges of artificial intelligence, France Diplomacy

News

• Bias detectives: the researchers striving to make algorithms fair, Nature News Feature, June 2018

Other

• AlgorithmWatch