Open Problems in Technical AI Governance
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arXiv
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| Autori principali: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| author | Reuel, Anka Bucknall, Ben Casper, Stephen Fist, Tim Soder, Lisa Aarne, Onni Hammond, Lewis Ibrahim, Lujain Chan, Alan Wills, Peter Anderljung, Markus Garfinkel, Ben Heim, Lennart Trask, Andrew Mukobi, Gabriel Schaeffer, Rylan Baker, Mauricio Hooker, Sara Solaiman, Irene Luccioni, Alexandra Sasha Rajkumar, Nitarshan Moës, Nicolas Ladish, Jeffrey Bau, David Bricman, Paul Guha, Neel Newman, Jessica Bengio, Yoshua South, Tobin Pentland, Alex Koyejo, Sanmi Kochenderfer, Mykel J. Trager, Robert |
| author_facet | Reuel, Anka Bucknall, Ben Casper, Stephen Fist, Tim Soder, Lisa Aarne, Onni Hammond, Lewis Ibrahim, Lujain Chan, Alan Wills, Peter Anderljung, Markus Garfinkel, Ben Heim, Lennart Trask, Andrew Mukobi, Gabriel Schaeffer, Rylan Baker, Mauricio Hooker, Sara Solaiman, Irene Luccioni, Alexandra Sasha Rajkumar, Nitarshan Moës, Nicolas Ladish, Jeffrey Bau, David Bricman, Paul Guha, Neel Newman, Jessica Bengio, Yoshua South, Tobin Pentland, Alex Koyejo, Sanmi Kochenderfer, Mykel J. Trager, Robert |
| contents | AI progress is creating a growing range of risks and opportunities, but it is often unclear how they should be navigated. In many cases, the barriers and uncertainties faced are at least partly technical. Technical AI governance, referring to technical analysis and tools for supporting the effective governance of AI, seeks to address such challenges. It can help to (a) identify areas where intervention is needed, (b) identify and assess the efficacy of potential governance actions, and (c) enhance governance options by designing mechanisms for enforcement, incentivization, or compliance. In this paper, we explain what technical AI governance is, why it is important, and present a taxonomy and incomplete catalog of its open problems. This paper is intended as a resource for technical researchers or research funders looking to contribute to AI governance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_14981 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Open Problems in Technical AI Governance Reuel, Anka Bucknall, Ben Casper, Stephen Fist, Tim Soder, Lisa Aarne, Onni Hammond, Lewis Ibrahim, Lujain Chan, Alan Wills, Peter Anderljung, Markus Garfinkel, Ben Heim, Lennart Trask, Andrew Mukobi, Gabriel Schaeffer, Rylan Baker, Mauricio Hooker, Sara Solaiman, Irene Luccioni, Alexandra Sasha Rajkumar, Nitarshan Moës, Nicolas Ladish, Jeffrey Bau, David Bricman, Paul Guha, Neel Newman, Jessica Bengio, Yoshua South, Tobin Pentland, Alex Koyejo, Sanmi Kochenderfer, Mykel J. Trager, Robert Computers and Society AI progress is creating a growing range of risks and opportunities, but it is often unclear how they should be navigated. In many cases, the barriers and uncertainties faced are at least partly technical. Technical AI governance, referring to technical analysis and tools for supporting the effective governance of AI, seeks to address such challenges. It can help to (a) identify areas where intervention is needed, (b) identify and assess the efficacy of potential governance actions, and (c) enhance governance options by designing mechanisms for enforcement, incentivization, or compliance. In this paper, we explain what technical AI governance is, why it is important, and present a taxonomy and incomplete catalog of its open problems. This paper is intended as a resource for technical researchers or research funders looking to contribute to AI governance. |
| title | Open Problems in Technical AI Governance |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2407.14981 |