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arXiv · 2311.11350

An Alternative to Regulation: The Case for Public AI

Nicholas Vincent·David Bau·Sarah Schwettmann·Joshua Tan
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Abstract

Can governments build AI? In this paper, we describe an ongoing effort to develop ``public AI'' -- publicly accessible AI models funded, provisioned, and governed by governments or other public bodies. Public AI presents both an alternative and a complement to standard regulatory approaches to AI, but it also suggests new technical and policy challenges. We present a roadmap for how the ML research community can help shape this initiative and support its implementation, and how public AI can complement other responsible AI initiatives.

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Nicholas Vincent, David Bau, Sarah Schwettmann, Joshua Tan. 2023-11-19. An Alternative to Regulation: The Case for Public AI. https://arxiv.org/abs/2311.11350

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