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: Machine Learning
Profile
Assistant Professor | University of Minnesota
Field Review
Profile
PhD candidate | University of Washington
Profile
PhD Candidate | York University and Toronto Metropolitan University
Profile
Assistant Professor of AI and Critical Data Studies | York University
Field Review
As part of our collaboration with the DISCO Network, Jeff Nagy examines the growing use of AI technology in psychiatry, focusing on the intersection of depression, disability, and digital media and how algorithms and machine learning impact our relationship with mental health.