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News on Law & Ethics
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 […]
By Justice MattersIn 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 […]
By Jeffrey Lane and Fanny A. RamirezRecent 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 […]
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 […]
In biomedicine, practitioners often treat risk of disease as an illness in itself?suitable for monitoring and intervention. In some cases, increased diagnostics improve health outcomes by detecting problems early. Recently, […]
Many widely used health algorithms have been shown to encode and reinforce racial health inequities, prioritizing the needs of white patients over those of patients of color. Because automated systems […]