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Session Submission Type: Paper Session (90 minute)
How is expertise being reconfigured and remade by the rollout of artificial intelligence? Experts in a host of key fields were already facing a range of threats to their status and authority in recent years. Now, AI confronts experts with a series of new challenges and opportunities, raising important questions for sociologists of knowledge studying everything from science and medicine through to education and lay mis/information consumption. This open SKAT panel invites theoretical and empirical papers on the way AI is changing expert labor and knowledge production, how it is realigning networks of expertise, how publics engage with it in lieu of credentialed experts, how it can variously retrench and rework power and inequalities, or how it is being resisted and restrained.
“A World in which AI Evaluates AI”: AI Safety as a Space between Fields - Anna Katharina Thieser, Columbia University; Jack LaViolette, Columbia University; Gil Eyal, Columbia University
Populist Science - Haley Lepp, Stanford University
Homogenization or Epistemic Pluralism: LLM-Generated Reviews in Scientific Peer Review - Ruishi Chen, Stanford University; Tianyu Du, Stanford University; Daniel A. McFarland, Stanford University
Remaking the landscape of scientific expertise: the emergent research program of total automation in science - David Peterson, Purdue University; Bernard Joseph Koch, University of Chicago; Aaron Panofsky, University of California-Los Angeles