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| ACM FAccT | |
|---|---|
| Name | ACM FAccT |
| Discipline | Computer science; Law; Ethics; Social science |
| Abbreviation | FAccT |
| Publisher | Association for Computing Machinery |
| Country | United States |
| Frequency | Annual |
ACM FAccT
ACM FAccT is an annual interdisciplinary conference on fairness, accountability, and transparency in socio-technical systems that convenes researchers, practitioners, and policymakers from Association for Computing Machinery, Stanford University, Massachusetts Institute of Technology, University of California, Berkeley, and Harvard University. The conference brings together scholars from European Commission, United Nations, World Bank, Google, Microsoft Research, Facebook AI Research to address intersections with United States Supreme Court, European Court of Human Rights, United Kingdom Parliament, Canadian Human Rights Commission, and Australian Human Rights Commission. Organizers and participants often include authors from Oxford University, Cambridge University, Princeton University, Columbia University, and Yale University.
FAccT originated from interdisciplinary workshops involving Association for Computing Machinery, ACM SIGCHI, ACM SIGCOMM, ACM SIGPLAN, and ACM SIGMOD members and trace roots to collaborative events at Stanford University Center for Social Innovation, MIT Media Lab, Berkeley Institute for Data Science, and Harvard Berkman Klein Center. Early formative meetings featured contributors from AAAI, IEEE, Royal Society, European Research Council, and MacArthur Foundation, and were influenced by landmark works discussed at NeurIPS, ICML, KDD, CHI, and ICASSP. Key early organizers hailed from New York University, University of Washington, Carnegie Mellon University, University of Toronto, and University of Pennsylvania. Over time the event evolved into an annual flagship conference with program committees including affiliates from Stanford Law School, Berkeley Law, Yale Law School, Oxford Internet Institute, Max Planck Institute, and Fraunhofer Society.
The conference addresses technical advances and normative questions intersecting with Civil Rights Act, General Data Protection Regulation, Freedom of Information Act, California Consumer Privacy Act, and Right to be Forgotten case law, while drawing on scholarship from Amnesty International, Human Rights Watch, OpenAI, DeepMind, and IBM Research. Themes include algorithmic fairness debates linked to studies from RAND Corporation, Pew Research Center, Brookings Institution, Economic Policy Institute, and Center for Democracy & Technology, as well as methodologies influenced by Johns Hopkins University, London School of Economics, Sciences Po, École Polytechnique, and ETH Zurich. Topics span auditing practices referenced in Federal Trade Commission actions, impact assessments used by European Data Protection Board, transparency approaches discussed at World Economic Forum, and accountability models considered by Organisation for Economic Co-operation and Development.
FAccT governance includes steering committees and program chairs drawn from Association for Computing Machinery, SIGCAS, SIGAI, and partners such as NSF, NIH, DARPA, European Commission Directorate-General for Communications Networks, Content and Technology, and UK Research and Innovation. Review processes reflect practices from ICML, NeurIPS', ACM SIGGRAPH, and ACL, with conflict-of-interest policies influenced by Committee on Publication Ethics and funding disclosures aligned with National Science Foundation. Leadership rotates among institutions including University of Maryland, University of Chicago, Rutgers University, Brown University, and University of California, Los Angeles.
FAccT proceedings have published influential work building on algorithms and critique from Timnit Gebru, Joy Buolamwini, Cathy O'Neil, Kate Crawford, and Latanya Sweeney, while advancing technical contributions aligned with research from Sanjeev Arora, Cynthia Dwork, Jon Kleinberg, Solon Barocas, and Hanna Wallach. Papers often engage with datasets and benchmarks curated at ImageNet, Open Images, UCI Machine Learning Repository, Common Crawl, and Million Song Dataset, and propose evaluation metrics related to studies at National Institute of Standards and Technology and ISO. Contributions include audit frameworks echoed by Electronic Frontier Foundation, causal inference methods influenced by Judea Pearl, and socio-technical analyses echoing Shoshana Zuboff and Frank Pasquale.
The conference grants awards that recognize work comparable to prizes given by Turing Award, Gödel Prize, NeurIPS Best Paper, ICML Best Paper, and fellowships similar to those from MacArthur Foundation and Sloan Foundation. Recipients have included researchers affiliated with Microsoft Research Cambridge, Google Research New York, Facebook AI Research Menlo Park, Amazon Web Services, and Apple Machine Learning Research. Recognitions at FAccT are often cited by recipients in nominations for Guggenheim Fellowship, Rhodes Scholarship, Fulbright Program, and honors from Royal Society and national academies such as National Academy of Sciences.
FAccT has faced scrutiny paralleling debates involving NeurIPS boycott, controversies around Google Walkout, and disputes similar to those at Facebook Oversight Board and Cambridge Analytica. Critics from Electronic Frontier Foundation, Center for Humane Technology, Algorithmic Justice League, and Data & Society Research Institute have questioned conflicts of interest tied to sponsorship from Google, Amazon, Microsoft, and Meta Platforms, Inc. and have debated scope limits raised by scholars at Princeton's Center for Information Technology Policy and MIT Media Lab.
Research from FAccT has informed policy dialogues at European Commission, United States Congress, UK Parliament House of Commons, Canadian Senate, and agencies like Federal Trade Commission and Data Protection Commission Ireland, and has influenced industry practices at Google DeepMind, Microsoft Azure, Amazon Web Services, IBM Watson, and Intel Labs. The conference's work has been cited in white papers by World Bank Group, guidance from Organisation for Economic Co-operation and Development, and standardization efforts at International Organization for Standardization, with collaborations reported involving Accenture, McKinsey & Company, Deloitte, and PwC.