Drawing on conclusions from the Data & Society report Beyond Disruption, Researcher Alexandra Mateescu discusses surveillance of domestic care workers online. "Online marketplaces may not be the root cause of individual ... Read on Slate

In an op-ed for The New York Times, Data & Society Researcher Alex Rosenblat shatters the narrative that Uber encapsulates the entire gig-economy. "But this industry has, until recently, operated largely informally, with... Read on The New York Times

Data & Society Fellow Jeanna Matthews speaks about algorithmic accountability and transparency within the context of the criminal justice system. Important decisions in our society are being made evermore frequently by o... Read more

Taeyoon Choi creates art as a form of research. In this talk, he describes his practice and a few examples of work he has pursued during his fellowship at Data & Society. He touches on ideas such as the “uncomputable”; the ... Read more

Drawn from the experiences of U.S. ridehail, care, and cleaning platform workers, new Data & Society report demonstrates how technology reshapes the future of labor. Read more

Data & Society Research Analyst Melanie Penagos summarizes three blogposts that came as a result of Data & Society's AI & Human Rights Workshop in April 2018. "Following Data & Society’s AI & Human Rights... Read on Points

Data & Society Data & Human Rights Research Lead Mark Latonero and Zachary Gold look at the history of web crawlers usage and legal issues surrounding that usage. "This paper discusses the history of web crawlers in co... Read on Washington Journal of Law, Technology & Arts

In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.     Data discrimination... Read more

This paper is a response to calls for explainable machines by Data & Society Postdoctoral Scholar Andrew Selbst and Affiliate Solon Barocas. "We argue that calls for explainable machines have failed to recognize the connec... Read on Fordham Law Review

Fairness in Precision Medicine is the first report to deeply examine the potential for biased and discriminatory outcomes in the emerging field of precision medicine; "the effort to collect, integrate and analyze multiple sources of data in order to develop individualized insights about health and disease." Read more