FATE: Fairness, Accountability, Transparency, and Ethics in AI - Microsoft Research

We study the complex social implications of AI, machine learning, data science, large-scale experimentation, and increasing automation. Our aim is to facilitate computational techniques that are both innovative and ethical, while drawing on the deeper context surrounding these issues from sociology, history, and science and technology studies. We are committed to working closely with AI research institutions--including those highlighted below--to address the need for transparency, accountability, and fairness in AI and machine learning systems. We also publish our research in a variety of disciplines, including machine learning, information retrieval, systems, sociology, political science, and science and technology studies. Data & Society Data & Society is an independent, nonprofit 501(c)(3) research institute committed identifying thorny issues at the intersection of technology and society, providing and encouraging research that can ground informed, evidence-based public debates, and building a network of researchers and practitioners who can anticipate issues and offer insight and direction.