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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.17303 |
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| _version_ | 1866915353504776192 |
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| author | Bommasani, Rishi Singer, Scott R. Appel, Ruth E. Cen, Sarah Cooper, A. Feder Cryst, Elena Gailmard, Lindsey A. Klaus, Ian Lee, Meredith M. Raji, Inioluwa Deborah Reuel, Anka Spence, Drew Wan, Alexander Wang, Angelina Zhang, Daniel Ho, Daniel E. Liang, Percy Song, Dawn Gonzalez, Joseph E. Zittrain, Jonathan Chayes, Jennifer Tour Cuellar, Mariano-Florentino Fei-Fei, Li |
| author_facet | Bommasani, Rishi Singer, Scott R. Appel, Ruth E. Cen, Sarah Cooper, A. Feder Cryst, Elena Gailmard, Lindsey A. Klaus, Ian Lee, Meredith M. Raji, Inioluwa Deborah Reuel, Anka Spence, Drew Wan, Alexander Wang, Angelina Zhang, Daniel Ho, Daniel E. Liang, Percy Song, Dawn Gonzalez, Joseph E. Zittrain, Jonathan Chayes, Jennifer Tour Cuellar, Mariano-Florentino Fei-Fei, Li |
| contents | The innovations emerging at the frontier of artificial intelligence (AI) are poised to create historic opportunities for humanity but also raise complex policy challenges. Continued progress in frontier AI carries the potential for profound advances in scientific discovery, economic productivity, and broader social well-being. As the epicenter of global AI innovation, California has a unique opportunity to continue supporting developments in frontier AI while addressing substantial risks that could have far reaching consequences for the state and beyond. This report leverages broad evidence, including empirical research, historical analysis, and modeling and simulations, to provide a framework for policymaking on the frontier of AI development. Building on this multidisciplinary approach, this report derives policy principles that can inform how California approaches the use, assessment, and governance of frontier AI: principles rooted in an ethos of trust but verify. This approach takes into account the importance of innovation while establishing appropriate strategies to reduce material risks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_17303 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The California Report on Frontier AI Policy Bommasani, Rishi Singer, Scott R. Appel, Ruth E. Cen, Sarah Cooper, A. Feder Cryst, Elena Gailmard, Lindsey A. Klaus, Ian Lee, Meredith M. Raji, Inioluwa Deborah Reuel, Anka Spence, Drew Wan, Alexander Wang, Angelina Zhang, Daniel Ho, Daniel E. Liang, Percy Song, Dawn Gonzalez, Joseph E. Zittrain, Jonathan Chayes, Jennifer Tour Cuellar, Mariano-Florentino Fei-Fei, Li Computers and Society The innovations emerging at the frontier of artificial intelligence (AI) are poised to create historic opportunities for humanity but also raise complex policy challenges. Continued progress in frontier AI carries the potential for profound advances in scientific discovery, economic productivity, and broader social well-being. As the epicenter of global AI innovation, California has a unique opportunity to continue supporting developments in frontier AI while addressing substantial risks that could have far reaching consequences for the state and beyond. This report leverages broad evidence, including empirical research, historical analysis, and modeling and simulations, to provide a framework for policymaking on the frontier of AI development. Building on this multidisciplinary approach, this report derives policy principles that can inform how California approaches the use, assessment, and governance of frontier AI: principles rooted in an ethos of trust but verify. This approach takes into account the importance of innovation while establishing appropriate strategies to reduce material risks. |
| title | The California Report on Frontier AI Policy |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2506.17303 |