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Lydia X. Z. Brown is a Policy Counsel with CDT’s Privacy and Data Project, focused on disability rights and algorithmic justice. Their work has investigated algorithmic harm and injustice in […]

Face recognition technology is a special menace to privacy, racial justice, free expression, and information security. Our faces are unique identifiers, and most of us expose them everywhere we go. […]

How do science and technology affect rights, equity, and justice? When are techno-solutions inadequate in addressing societal problems? In this month’s episode of Justice Matters, host Sushma Raman talks with […]

In recent years, police and prosecutors have implemented social media in a host of new ways to investigate and prosecute crimes. Social media, after all, contains a wealth of information—and […]

Recent research on algorithmic fairness has highlighted that the problem formulation phase of ML system development can be a key source of bias that has significant downstream impacts on ML […]

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We offer a graphical interpretation of unfairness in a dataset as the presence of an unfair causal effect of the sensitive attribute in the causal Bayesian network representing the data-generation […]

This paper explores the important role of critical science, and in particular of post-colonial and decolonial theories, in understanding and shaping the ongoing advances in artificial intelligence. Artificial intelligence (AI) […]

Predictive policing systems are used increasingly by law enforcement to try to prevent crime before it occurs. But what happens when these systems are trained using biased data? Kristian Lum […]

William Isaac is a staff research scientist on DeepMind’s Ethics and Society Team, Advisory Board member of the Human Rights Data Analysis Group, and research affiliate at Oxford University Centre […]

Lenhart and Owens find numerous challenges to designing for adolescent digital well-being: “Digital well-being” does not have a commonly agreed-upon definition, which contributes to a focus on quantifiable modes of […]

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