As generative artificial intelligence becomes ubiquitous, University of Michigan expert Shobita Parthasarathy says technical revisions to the mechanics may address some harms built into the technology so far.
Yet, she argues, “it will always be behind the curve of inequities that emerge unless they are accompanied by larger scale changes in the innovation system.”
Parthasarathy, professor and director of the Science, Technology, and Public Policy Program at U-M’s Ford School of Public Policy, was part of an interdisciplinary group of experts convened by the National Academy of Sciences to explore rising challenges posed by the use of AI in research and to chart a road map for the scientific community.
The group’s research papers were recently published in Issues in Science and Technology as a series called “Strategies to Govern AI Effectively.” With Jared Katzman, a doctoral student at the School of Information and STPP graduate certificate student, Parthasarathy wrote a paper on how to prevent and address inequities built into AI.
