The Societal Impact of Foundation Models: Advancing Evidence-based AI Policy

• URL: http://arxiv.org/abs/2506.23123v1
• Date: Sun, 29 Jun 2025 07:16:48 GMT
• Title: The Societal Impact of Foundation Models: Advancing Evidence-based AI Policy
• Authors: Rishi Bommasani,
• Abstract summary: dissertation explains how technology and society coevolve in the age of AI, organized around three themes.<n>First, the conceptual framing: the capabilities, risks, and the supply chain that grounds foundation models in the broader economy.<n>Second, the empirical insights that enrich the conceptual foundations: transparency created via evaluations at the model level and indexes at the organization level.<n>Third, the transition from understanding to action: superior understanding of the societal impact of foundation models advances evidence-based AI policy.
• Score: 14.679051711850393
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Artificial intelligence is humanity's most promising technology because of the remarkable capabilities offered by foundation models. Yet, the same technology brings confusion and consternation: foundation models are poorly understood and they may precipitate a wide array of harms. This dissertation explains how technology and society coevolve in the age of AI, organized around three themes. First, the conceptual framing: the capabilities, risks, and the supply chain that grounds foundation models in the broader economy. Second, the empirical insights that enrich the conceptual foundations: transparency created via evaluations at the model level and indexes at the organization level. Finally, the transition from understanding to action: superior understanding of the societal impact of foundation models advances evidence-based AI policy. View together, this dissertation makes inroads into achieving better societal outcomes in the age of AI by building the scientific foundations and research-policy interface required for better AI governance.

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