FAccT research starter pack
Interdisciplinary researchers from the community focused on Fairness, Accountability, and Transparency in sociotechnical systems.
Created by
@friedler.net
@sethlazar.org
Philosopher working on normative dimensions of computing and sociotechnical AI safety. Lab: https://mintresearch.org Self: https://sethlazar.org Newsletter: https://philosophyofcomputing.substack.com
@metaxa.net
Asst Prof in Computer Science + in Communication at UPenn // Stanford CS PhD // Research on AI auditing, sociotechnical systems, algorithmic justice
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@md.ekstrandom.net
Info sci prof @ Drexel, trying to keep the machines (esp. RecSys & IR) from learning bigotry and discrimination. ADHDS9. Usually self-propelled. Opinions those of the Vulcan Science Academy. π°x2. π‘ https://md.ekstrandom.net π§ͺ https://inertial.science
@michae.lv
assoc. prof, @UCLLaws.bsky.social, technology, policy, society, whimsical latvian top level domain names. michae.lv and fediverse https://someone.elses.computer/@mikarv π³οΈβπ
@facctrec.bsky.social
The FAccTRec workshop at ACM RecSys. https://facctrec.github.io/facctrec2023
@facct.bsky.social
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). June 23rd to June 26th, 2025, in Athens, Greece. #FAccT2025 https://facctconference.org/
@friedler.net
CS prof at Haverford, former tech policy at OSTP, research on fairness, accountability, and transparency of ML, @facct.bsky.social co-founder Also at: [email protected] 𦣠(formerly @kdphd π¦) sorelle.friedler.net