ACM Conference on Fairness, Accountability, and Transparency (FAccT 2027)

The ACM Conference on Fairness, Accountability, and Transparency (FAccT 2027) is the world's leading interdisciplinary forum for research on the social and technical dimensions of responsible AI and algorithmic systems, drawing scholars from computer science, law, social science, and the humanities to examine how AI technologies shape and are shaped by questions of justice, accountability, and power. FAccT provides a rigorous peer-reviewed venue for research that scrutinizes machine learning systems, data practices, and computational infrastructure through the lenses of fairness, explainability, governance, and societal impact. The conference plays a central role in defining the emerging field of responsible AI, with influence on both academic research agendas and industry practice.

We invite submissions for the ACM Conference on Fairness Accountability

Submissions are invited on algorithmic fairness, model transparency and explainability, accountability mechanisms for AI systems, the societal impacts of data-driven decision-making, and governance frameworks for responsible AI deployment. Interdisciplinary papers bridging technical and social perspectives are especially encouraged.