FATE: Fairness, Accountability, Transparency, and Ethics in AIWe 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.The types of questions we are exploring are: * How can AI assist users and offer enhanced insights, while avoiding exposing them to discrimination in health, housing, law enforcement, and employment? * How can we balance the need for efficiency and exploration with fairness and sensitivity to users? * As our world moves toward relying on intelligent agents, how can we create a system that individuals and communities can trust?MS FATE GroupMSFG_9540f42c-6fda-11ea-9a63-83ce1d83ea00Fairness, Accountability, Transparency, and Ethics (FATE) group at MSR Montréal seeks to align the uses of computational systems to broader goals in the service of social good, justice, and fairness. Our aim is to understand the limits of computational systems and their impacts on individuals and societies.AI Research InstitutionsWe 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 & SocietyData & 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.AI Now InstituteThe AI Now Institute at New York University is an interdisciplinary research center dedicated to understanding the social implications of artificial intelligence.Partnership on AIPartnership on AI studies and formulates best practices on AI technologies, to advance the public’s understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society.Social Media CollectiveThe Social Media Collective (SMC) is a network of social science and humanistic researchers, part of the Microsoft Research labs in New England and New York. It includes full-time researchers, postdocs, interns, and visitors.MS FATE StaffSolon BarocasPrincipal ResearcherAsia J. BiegaPostdoctoral ResearcherKate CrawfordSenior Principal ResearcherHal Daumé IIIPrincipal ResearcherFernando DiazPrincipal Research ManagerMiro DudíkSr Principal ResearcherBenjamin FishPostdoctoral ResearcherAdam Tauman KalaiSenior Principal ResearcherSangeeta MudnalGroup Program Manager, Responsible AIAlexandra OlteanuPostdoctoral ResearcherForough Poursabzi-SangdehPostdoctoral ResearcherLuke StarkPostdoctoral ResearcherHanna WallachSenior Principal ResearcherJennifer Wortman VaughanSenior Principal ResearcherA trustworthy system_9540f558-6fda-11ea-9a63-83ce1d83ea00To study the complex social implications of AI, machine learning, data science, large-scale experimentation, and increasing automation._9540f5f8-6fda-11ea-9a63-83ce1d83ea00FairnessAccountabilityTransparencyEthicsComputational TechniquesFacilitate 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._9540f68e-6fda-11ea-9a63-83ce1d83ea00InsightsExplore how AI can assist users and offer enhanced insights, while avoiding exposing them to discrimination in health, housing, law enforcement, and employment._9540f724-6fda-11ea-9a63-83ce1d83ea001Health Care SectorHousing SectorLaw Enforcement AuthoritiesEmployeesEmployersBalanceExplore how we can we balance the need for efficiency and exploration with fairness and sensitivity to users._9540f7b0-6fda-11ea-9a63-83ce1d83ea002TrustExplore how we can create a system that individuals and communities can trust as our world moves toward relying on intelligent agents._9540f850-6fda-11ea-9a63-83ce1d83ea003IndividualsCommunities2020-03-26https://www.microsoft.com/en-us/research/group/fate/OwenAmburOwen.Ambur@verizon.net