An Alternative to Regulation: The Case for Public AI.
CoRR(2023)
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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