Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI

Robert Wolfe

doi:10.1609/aies.v7i2.31910

Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI

Authors

Robert Wolfe University of Washington

DOI:

https://doi.org/10.1609/aies.v7i2.31910

Abstract

This extended abstract discusses the three approaches to epistemic risk in general-purpose AI that characterize my research: measurement, design, and transparency.

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Published

2025-01-22

How to Cite

Wolfe, R. (2025). Quantitative and Organizational Approaches to Epistemic Risk in Generative and General-Purpose AI. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 7(2), 55-57. https://doi.org/10.1609/aies.v7i2.31910

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Issue

Vol. 7 No. 2 (2024): Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Student Abstracts

Section

Student Abstracts