AAAI/ACM Conference on Artificial Intelligence, Ethics and Society

The AAAI/ACM Conference on AI, Ethics, and Society (AIES) is a peer-reviewed academic conference series that serves as a leading multidisciplinary forum for examining the ethical, social, and policy dimensions of artificial intelligence. The conference is jointly organized by the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery's Special Interest Group on Artificial Intelligence (ACM SIGAI). AIES was founded in 2018 when AAAI and ACM joined forces to create a dedicated venue for scholarship on AI's societal impacts. The first conference was held February 1-3, 2018 in New Orleans, Louisiana, co-located with AAAI-18, with proceedings edited by Jason Furman, Gary E. Marchant, Huw Price, and Francesca Rossi. The conference has been held annually since, at locations including Honolulu (2019), New York (2020), virtual (2021), Oxford (2022), Montreal (2023), San Jose (2024), Madrid (2025), and Malmo, Sweden (2026). The conference is convened each year by program co-chairs representing Computer Science, Law and Policy, the Social Sciences, and Ethics and Philosophy. A steering committee provides continuity across years and has included figures such as Vincent Conitzer (Duke University), Gillian Hadfield (University of Toronto), Francesca Rossi (IBM), Shannon Vallor (University of Edinburgh), Subbarao Kambhampati (Arizona State University, representing AAAI), Sven Koenig (University of Southern California, representing ACM SIGAI), and Bobby Schnabel (University of Colorado Boulder). AIES covers a broad range of topics organized around five primary domains: power, governance, and political economy of AI; AI systems, values, and ethical design; AI in social and institutional domains such as law, healthcare, and democracy; work, labor, and global inequalities; and critique and limits of AI including harms, failures, environmental costs, and resistance. The conference welcomes empirical, normative, participatory, and critical methodologies, and encourages submissions grounded in real-world AI deployments that speak across disciplinary boundaries. Proceedings are published through AAAI Press and the ACM Digital Library. The conference has grown from its initial co-location with the main AAAI conference into a standalone annual event, reflecting the increasing importance of AI ethics as a field of study and practice.