ACM FAccT: Conference on Fairness, Accountability, and Transparency

ACM FAccT 2026: the Conference on Fairness, Accountability, and Transparency is the leading interdisciplinary venue for research on the social and ethical dimensions of AI and algorithmic systems. The conference addresses algorithmic bias and discrimination, transparency and explainability in machine learning, accountability mechanisms for automated decision making, data privacy, and the broader sociotechnical systems in which AI is embedded. FAccT has become a central forum for the growing community working to ensure that AI systems are just, understandable, and subject to meaningful human oversight.

FAccT draws together computer scientists, social scientists, legal scholars, ethicists, policy experts, and civil society advocates who share a concern for the impacts of algorithmic systems on individuals and communities. It is essential reading and attendance for anyone developing, deploying, or regulating AI in high-stakes domains such as criminal justice, hiring, lending, healthcare, and education. Graduate students from any of these disciplines will find FAccT a uniquely welcoming and intellectually stimulating environment that takes both technical rigor and social responsibility seriously.

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