优先考虑可行和有影响力的行动，以实现人工智能在生物学中的安全开发和使用（英）

JOSH DETTMAN, EMILY LATHROP, AURELIA ATTAL-JUNCQUA, MATTHEW NICOTRA, ALLISON BERKEPrioritizing Feasible and Impactful Actions to Enable Secure Artificial Intelligence Development and Use in BiologyRAND Global and Emerging RisksWR-A4213-1 September 2025 Working PaperRAND working papers are intended to share early insights and solicit informal peer review. This working paper has been approved for circulation by RAND but has not been peer reviewed or professionally edited or proofread. Feedback to the project team is welcome via email. This working paper can be quoted and cited without permission of the author, provided the source is clearly referred to as a working paper. This working paper does not necessarily reflect the opinions of RAND's research clients and sponsors. is a registered trademark. Learn more at www.rand.org.For more information on this publication, visit www.rand.org/t/WRA4213-1.About RANDRAND is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest. To learn more about RAND, visit www.rand.org.Research IntegrityOur mission to help improve policy and decisionmaking through research and analysis is enabled through our core values of quality and objectivity and our unwavering commitment to the highest level of integrity and ethical behavior. To help ensure our research and analysis are rigorous, objective, and nonpartisan, we subject our research publications to a robust and exacting quality-assurance process; avoid both the appearance and reality of financial and other conflicts of interest through staff training, project screening, and a policy of mandatory disclosure; and pursue transparency in our research engagements through our commitment to the open publication of our research findings and recommendations, disclosure of the source of funding of published research, and policies to ensure intellectual independence. For more information, visit www.rand.org/about/research-integrity.RAND’s publications do not necessarily reflect the opinions of its research clients and sponsors.Published by the RAND Corporation, Santa Monica, Calif.© 2025 RAND Corporation is a registered trademark.Limited Print and Electronic Distribution RightsThis publication and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to its webpage on rand.org is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research products for commercial purposes. For information on reprint and reuse permissions, visit www.rand.org/about/publishing/permissions.WR-A4213-1 iii About This Working Paper Advances in artificial intelligence (AI) are accelerating discovery in the