Provocation on Expertise in Social Impact Evaluations of Generative AI (and Beyond)
Zoe Kahn, Nitin Kohli

TL;DR
This paper critically examines the role of diverse expertise in conducting social impact evaluations of generative AI, emphasizing the need for integrating insights from various expert types.
Contribution
It introduces a framework for understanding the types of expertise necessary for robust social impact evaluations of generative AI and raises open questions for future research.
Findings
Highlighting the importance of diverse expertise in evaluations
Proposing a framework for integrating different expert insights
Identifying open questions for future work
Abstract
Social impact evaluations are emerging as a useful tool to understand, document, and evaluate the societal impacts of generative AI. In this provocation, we begin to think carefully about the types of experts and expertise that are needed to conduct robust social impact evaluations of generative AI. We suggest that doing so will require thoughtfully eliciting and integrating insights from a range of "domain experts" and "experiential experts," and close with five open questions.
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Taxonomy
TopicsEthics and Social Impacts of AI · Interdisciplinary Research and Collaboration · Artificial Intelligence in Healthcare and Education
