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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

Artificial intelligence marketing

Ethics of artificial intelligence

List of conferences

Past and future FAccT conferences include:

Year Location Date Keynote/Invited speakers Link
2024 Rio de Janeiro, Brazil June 3–6 TBD Website
2023 Chicago, Illinois and online June 12–15 Payal Arora, Charlotte Burrows, Alex Hanna, Moritz Hardt, Alondra Nelson, Ziad Obermeyer Website
2022 Seoul, South Korea and online June 21–24 Cha Meeyoung, Pascale Fung, Mariano-Florentino Cuéllar, André Brock Website
2021 Online March 3–10 Yeshimabeit Milner, Katrina Ligett, Julia Angwin Website
2020 Barcelona, Spain January 27–30 Ayanna Howard, Yochai Benkler, Nani Jansen Reventlow Website
2019 Atlanta, Georgia January 29–31 Jon Kleinberg, Deirdre Mulligan Website
2018 New York, New York February 23–24 Latanya Sweeney, Deborah Hellman Website

References

  1. ^ "Association for Computing Machinery Conferences". Retrieved 2019-03-27.
  2. ^ Laufer, Benjamin; Jain, Sameer; Cooper, A. Feder; Kleinberg, Jon; Heidari, Hoda (2022-06-20). "Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects". Proceedings of the 2022 Conference on Fairness, Accountability, and Transparency. FAccT '22. Seoul, Korea: Association for Computing Machinery. pp. 401–426. doi:10.1145/3531146.3533107. ISBN 978-1-4503-9352-2. S2CID 249642305.
  3. ^ "2019 ACM FAT conference". www.acm.org. Retrieved 2019-02-01.
  4. ^ "ACM FAccT 2020 Sponsors". Retrieved 2019-02-19.
  5. ^ "ACM FAccT Sponsorship Policy". Retrieved 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. doi:10.1016/j.caeai.2023.100152. ISSN 2666-920X.
  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. 17 (1): 309–334. arXiv:2106.03673. doi:10.1146/annurev-lawsocsci-041221-023808. ISSN 1550-3585.
  8. ^ "FATE: Fairness, Accountability, Transparency & Ethics in AI". Microsoft Research. Retrieved 2023-11-19.

External links


Association for Computing Machinery
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