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: History
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Associate Professor | Hunter College, CUNY
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Knowledge Mobilization and Research Impact Officer | University of Waterloo
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 […]
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Professor | Northwestern University
Field Review
ABSTRACT Elon Musk’s acquisition of Twitter on October 31, 2022 has left Black Twitter reeling in the wake of over a year of turbulence, with constantly changing affordances rendering the […]
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Assistant Professor of AI and Critical Data Studies | York University