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《科学》 第391卷 第6785期 · 2026年2月5日 · 中文解读

人工智能时代的生物数据治理

Biological data governance in an age of AI · Doni Bloomfield, James R. M. Black, Oliver Crook, Nadav Brandes, Moritz S. Hanke, Thomas V. Inglesby, Anita Cicero, Robert Pollack, Tina Hernandez-Boussard, Michael J. Imperiale
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这篇讲什么
本文提出针对新型病毒数据实施定制化访问控制,以降低人工智能相关生物安全风险。
原文开头
Tailored access controls on new viral data would reduce misuse risks Doni Bloomfield1, James R. M. Black2, Oliver Crook3,4, Nadav Brandes5,6, Moritz S. Hanke2, Thomas V. Inglesby2, Anita Cicero2, Robert Pollack7, Tina Hernandez-Boussard8,9, Michael J. Imperiale10, Russ B. Altman8,9,11,12, Jaspreet Pannu2 S cientists are making rapid progress in developing artificial intelligence (AI) models trained on biological data and in combining these biological models with general-purpose AI reasoning models and AI agents. After the 50th anniversary Asilomar Conference, an international group of more than 100 researchers endorsed an entreaty to prevent the use of these in- creasingly capable AI systems for “deliberately harmful applications such as bioweapons development” (1). [T.V.I., M.J.I., R.B.A., and J.P. …
摘自《科学》(Science)第391卷 第6785期 · 2026年2月5日,Doni Bloomfield, James R. M. Black, Oliver Crook, Nadav Brandes, Moritz S. Hanke, Thomas V. Inglesby, Anita Cicero, Robert Pollack, Tina Hernandez-Boussard, Michael J. Imperiale。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。
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