ACM Conference on Fairness, Accountability, and Transparency explained

ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT, formerly known as ACM FAT*) is a peer-reviewed academic conference series about ethics and computing systems.[1] Sponsored by the Association for Computing Machinery, this conference focuses on issues such as algorithmic transparency, fairness in machine learning, bias, and ethics from a multi-disciplinary perspective.[2] The conference community includes computer scientists, statisticians, social scientists, scholars of law, and others.[3]

The conference is sponsored by Big Tech companies such as Facebook, Twitter, and Google, and large foundations such as the Rockefeller Foundation, Ford Foundation, MacArthur Foundation, and Luminate.[4] Sponsors contribute to a general fund (no "earmarked" contributions are allowed) and have no say in the selection, substance, or structure of the conference.[5]

FATE Overview

The acronym FATE refers to Fairness, Accountability, Transparency, and Ethics in sociotechnical systems.  FATE is a topic of rising interest as the societal and ethical implications of complex systems such as artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) are increasing. The topic provides an interdisciplinary challenge of bridging the gap of transparency between technical and non technical academics and policy makers to ensure the safety and equity of algorithmic systems as they advance at a rapid rate.[6]   Some solutions and techniques that have been discovered include Explainable artificial intelligence (XAI).

Recent adoptions of AI in both the public and private sector include the predictive recidivism algorithm (otherwise known as COMPAS) which was deployed in the US Court, as well as Amazon’s AI Powered recruitment tool, later proven to favor male over female applicants.  Further, AI based decision support (ADS) powered by machine learning techniques is more commonly being integrated across fields including criminal justice, education, and benefits provision.[7]   FATE functions as a means to look further into algorithms to raise awareness and work towards a solution.  Companies such as Microsoft have created research teams specifically devoted to the topic.[8]

Key Research Areas and Emerging Trends in FATE

The FAccT Conference 2024 is looking for articles specifically within the following areas: Audits and Evaluation Practices, System Development and Deployment, Experiences and Interactions, Critical Studies, Law and Policy, and Philosophy.

For further reading on areas relevant to FATE see:

Algorithmic bias

Artificial intelligence art

List of conferences

Past and future FAccT conferences include:

YearLocationDateKeynote/Invited speakersLink
2024Rio de Janeiro, BrazilJune 3–6TBDWebsite
2023Chicago, Illinois and onlineJune 12–15Payal Arora, Charlotte Burrows, Alex Hanna, Moritz Hardt, Alondra Nelson, Ziad ObermeyerWebsite
2022Seoul, South Korea and onlineJune 21–24Cha Meeyoung, Pascale Fung, Mariano-Florentino Cuéllar, André BrockWebsite
2021OnlineMarch 3–10Yeshimabeit Milner, Katrina Ligett, Julia AngwinWebsite
2020Barcelona, SpainJanuary 27–30 Ayanna Howard, Yochai Benkler, Nani Jansen ReventlowWebsite
2019Atlanta, GeorgiaJanuary 29–31Jon Kleinberg, Deirdre MulliganWebsite
2018New York, New YorkFebruary 23–24Latanya Sweeney, Deborah HellmanWebsite

Notes and References

  1. Web site: Association for Computing Machinery Conferences. en-US. 2019-03-27.
  2. Book: Laufer . Benjamin . Jain . Sameer . Cooper . A. Feder . Kleinberg . Jon . Heidari . Hoda . Proceedings of the 2022 Conference on Fairness, Accountability, and Transparency . Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects . 2022-06-20 . FAccT '22 . Seoul, Korea . Association for Computing Machinery . 401–426 . 10.1145/3531146.3533107 . 978-1-4503-9352-2 . 249642305 . free .
  3. Web site: 2019 ACM FAT conference. www.acm.org. en. 2019-02-01.
  4. Web site: ACM FAccT 2020 Sponsors. en-US. 2019-02-19.
  5. Web site: ACM FAccT Sponsorship Policy. en-US. 2019-02-19.
  6. Memarian . Bahar . Doleck . Tenzin . 2023-01-01 . Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review . Computers and Education: Artificial Intelligence . 5 . 100152 . 10.1016/j.caeai.2023.100152 . 2666-920X. free .
  7. Levy . Karen . Chasalow . Kyla E. . Riley . Sarah . 2021-10-13 . Algorithms and Decision-Making in the Public Sector . Annual Review of Law and Social Science . en . 17 . 1 . 309–334 . 10.1146/annurev-lawsocsci-041221-023808 . 1550-3585. 2106.03673 .
  8. Web site: FATE: Fairness, Accountability, Transparency & Ethics in AI . 2023-11-19 . Microsoft Research . en-US.