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: Inequality
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Associate Professor | Hunter College, CUNY
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Assistant Professor | University of Minnesota
Field Review
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Cofounder | Criminal Justice and Police Accountability Project (CPAProject)
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Independent Consultant; Visiting Research Collaborator | Cornell University
Field Review
ABSTRACT Taking the supposed “end” of Covid-19 as a starting point, this field review is an examination of technobureaucracies of care. Bureaucracy, the management of bodies from afar, has become […]
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Assistant Professor | UC Santa Barbara