arXiv Open Access 2023

An Alternative to Regulation: The Case for Public AI

Nicholas Vincent David Bau Sarah Schwettmann Joshua Tan

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Abstrak

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.

Topik & Kata Kunci

cs.CY

Penulis (4)

Nicholas Vincent

David Bau

Sarah Schwettmann

Joshua Tan

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APA MLA BibTeX

Vincent, N., Bau, D., Schwettmann, S., Tan, J. (2023). An Alternative to Regulation: The Case for Public AI. https://arxiv.org/abs/2311.11350

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓