In this field review, 2022 Just Tech Fellow Kim Gallon examines the rise of generative artificial intelligence in the healthcare space and how some researchers and machine learning advocates back its use to strengthen health datasets and make them more diverse. Gallon traces the history of health data inequality in the United States and explores the ethical and equity implications of using artificial health data in health research.
Focus Tag: Race and Ethnicity
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Associate Professor | Hunter College, CUNY
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Assistant Professor | University of Minnesota
Field Review
Field Review
ABSTRACT The study of digital games is necessarily a study of software and computers and their politics, histories, and imbrications in systems of power. Critical game studies as a field […]
Field Review
ABSTRACT This field review traces the form and function of artifice at the intersections of data tech and climate change. The piece begins with a discussion of artifice and clarity-making, […]
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PhD candidate | York University and Toronto Metropolitan University
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PhD candidate | University of California, Los Angeles
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Professor | Northwestern University