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| AAAI/ACM Conference on AI, Ethics, and Society | |
|---|---|
| Name | AAAI/ACM Conference on AI, Ethics, and Society |
| Status | Active |
| Discipline | Artificial intelligence ethics |
| Venue | Various |
| First | 2018 |
| Organizer | AAAI; ACM FAccT program committee |
AAAI/ACM Conference on AI, Ethics, and Society is an annual interdisciplinary conference that convenes researchers, practitioners, policymakers, and civil society actors to examine ethical, legal, and social implications of artificial intelligence. The conference is jointly associated with the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery and intersects with related venues and institutions across computer science, philosophy, law, and public policy.
The conference brings together contributors from Association for the Advancement of Artificial Intelligence, Association for Computing Machinery, IEEE, European Commission, United Nations, and leading universities such as Massachusetts Institute of Technology, Stanford University, University of Oxford, Harvard University and University of California, Berkeley to present peer-reviewed work. It sits in the ecosystem alongside NeurIPS, ICML, IJCAI, FAccT Conference, CHAI Workshop, and AAAI Conference on Artificial Intelligence and engages policy fora including Congress of the United States, European Parliament, World Economic Forum and Council of Europe.
The conference originated in the late 2010s amid growing attention from institutions such as OpenAI, DeepMind, Google, Microsoft Research, Facebook AI Research, and IBM Research to ethical risks of AI. Early gatherings referenced reports by OECD, UNESCO, National Science Foundation, Alan Turing Institute, and civil society groups like Electronic Frontier Foundation, ACLU, and Amnesty International. Foundational debates drew on scholarship from scholars affiliated with Princeton University, University of Cambridge, Yale University, New York University, and Carnegie Mellon University and intersected with legal developments like the General Data Protection Regulation and policy proposals from European Commission digital strategy papers.
The conference aims to advance rigorous, multidisciplinary research at the intersection of computer science, philosophy, law, public policy, and sociology—linking work by scholars from institutions such as University of Toronto, Columbia University, University of Chicago, University of Washington, and University of California, San Diego. It encourages submissions on algorithmic fairness studied in contexts of projects from Amazon, Uber, Lyft, Airbnb; accountability frameworks inspired by reports from Office of the United Nations High Commissioner for Human Rights and guidelines by IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems; and governance proposals influenced by OECD and World Economic Forum publications.
Organization typically involves program committees composed of academics from MIT Media Lab, Oxford Internet Institute, Berkman Klein Center, Data & Society Research Institute, and a rotating roster of industry representatives from Apple, Twitter, LinkedIn, Pinterest and public sector advisors drawn from U.S. Department of Commerce, UK Department for Digital, Culture, Media and Sport, and international bodies. Steering committees often include members affiliated with ACM Committee on Professional Ethics, AAAI Ethics Committee, Ada Lovelace Institute, and advisory input from organizations like Pew Research Center and Brookings Institution.
Proceedings cover peer-reviewed papers, position papers, case studies, and workshops addressing algorithmic fairness, transparency, interpretability, privacy, surveillance, and autonomous systems with frequent cross-citations to work at NeurIPS, ICLR, KDD, SIGCHI, and SIGCOMM. Common subject matter references include canonical systems and datasets developed by teams at Google Brain, Facebook AI Research, Microsoft Research Cambridge, and methodological advances from University of Montreal, ETH Zurich, Max Planck Institute for Intelligent Systems, and Tsinghua University. Proceedings also engage legal frameworks such as the European Convention on Human Rights and national statutes in comparative analyses.
Notable contributions have included empirical audits, theoretical frameworks, and policy proposals that influenced debates in United States Congress, European Parliament, California State Legislature, and advisory reports to the European Commission and United Nations bodies. Influential authors hail from Harvard Kennedy School, Stanford Law School, Yale Law School, Berkeley Law, Columbia Law School, and research centers such as Stanford Human-Centered AI Institute, MIT Internet Policy Research Initiative, and Center for AI and Digital Policy. Several works have been cited in regulatory dialogues involving Federal Trade Commission, Competition and Markets Authority, and national data protection authorities like CNIL.
The conference runs workshops, tutorials, policy roundtables, and public sessions with partnerships involving ACLU, Electronic Frontier Foundation, Data & Society, OpenAI Scholars, and educational initiatives from Coursera, edX, Khan Academy and university outreach programs at UC Berkeley School of Information and Harvard Berkman Klein Center. It supports community-building efforts with student groups including ACM-W, Women in Machine Learning, Black in AI, Latinx in AI, and collaborates with philanthropic funders such as The Rockefeller Foundation, Ford Foundation, MacArthur Foundation, and Gates Foundation.
Category:Artificial intelligence conferences