3.1 Artificial Intelligence and the Future of Biotechnology

dc.contributor.authorBromberg, Yanaen_US
dc.contributor.authorAltman, Russen_US
dc.contributor.authorImperiale, Michaelen_US
dc.contributor.authorHorvitz, Ericen_US
dc.contributor.authorDus, Monicaen_US
dc.contributor.authorTownshend, Raphaelen_US
dc.contributor.authorYao, Vickyen_US
dc.contributor.authorTreangen, Todden_US
dc.contributor.authorAlexanian, Tessaen_US
dc.contributor.authorSzymanski, Erikaen_US
dc.contributor.authorYassif, Jaimeen_US
dc.contributor.authorAnta, Rafaelen_US
dc.contributor.authorLindner, Ariel B.en_US
dc.contributor.authorSchmidt, Markusen_US
dc.contributor.authorDiggans, Jamesen_US
dc.contributor.authorEsvelt, Kevin M.en_US
dc.contributor.authorMolla, Kutubuddin A.en_US
dc.contributor.authorPhelan, Ryanen_US
dc.contributor.authorWang, Mengdien_US
dc.contributor.authorWu, Feliciaen_US
dc.contributor.authorde Carvalho Bittencourt, Daniela Matiasen_US
dc.date.accessioned2025-06-03T19:43:09Zen_US
dc.date.available2025-06-03T19:43:09Zen_US
dc.date.issued2025en_US
dc.descriptionDeveloped from the Asilomar discussion on existing and future threats stemming from the use of AI in Biotechnology. Outlines the current state of the art globally and proposes best practices and possible risk mitigation strategies.en_US
dc.description This entreaty was created as part of The Spirit of Asilomar and the Future of Biotechnology summit (February 23-26, 2025) in Pacific Grove, CA.en_US
dc.description.abstractIntegration of artificial intelligence (AI) and biotechnology (AIxBio) creates revolutionary opportunities for progress in advancing the bioeconomy and addressing health concerns. AI advances promise to greatly accelerate beneficial biological discoveries and innovation and will undoubtedly be one of the deepest contributions of AI to people and society. However, AI methods can also increase risks of accidents and enable malevolent activities aimed at deliberately harmful applications such as bioweapons development. Effective AIxBio governance requires frameworks that enable the great rewards expected from AI in biosciences but that also consider more costly outcomes made possible by AI advances. Recent literature on AIxBio risk management highlights strategies that include tiered access controls, AI auditing mechanisms, and mandatory biological molecule synthesis screening and monitoring. However, many of these potential guardrails have yet to be developed and/or adequately evaluated. In addition to developing practical, technical solutions, it will also be important to develop guidelines and regulations, as well as incentives to follow these, to drive broad implementation of effective risk reduction solutions at the national and international level. Such policies can address significant gaps in national and global governance, but it will also be important to harmonize these approaches to address any regulatory divergence and inconsistencies in risk management across key world players.en_US
dc.identifier.citationBromberg, Y., Altman, R., Imperiale, M., Horvitz, E., Dus, M., Townshend, R., Yao, V., Treangen, T., Alexanian, T., Szymanski, E., Yassif, J., Anta, R., Lindner, A., Schmidt, M., Diggans, J., Esvelt, K. M., MOLLA, K.A., Phelan, R., Wang, M., … Matias de Carvalho Bittencourt, D. (2025). 3.1 Artificial Intelligence and the Future of Biotechnology. Rice University. https://doi.org/10.25611/1233-X161en_US
dc.identifier.digitalSOA_2025.3.1_AI_and_Bioen_US
dc.identifier.doihttps://doi.org/10.25611/1233-X161en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8351-0844en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8823-0614en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-0493-0451en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-6362-1451en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-1455-2936en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-3201-9983en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-9788-4791en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6321-8897en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-3137-6567en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-9897-7906en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-3760-564Xen_US
dc.identifier.orcidhttps://orcid.org//0000-0001-5015-6511en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1108-7124en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1465-9028en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3871-2380en_US
dc.identifier.urihttps://hdl.handle.net/1911/118555en_US
dc.language.isoengen_US
dc.publisherRice Universityen_US
dc.rightsAttribution 4.0 Internationalen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.title3.1 Artificial Intelligence and the Future of Biotechnologyen_US
dc.typeReporten_US
dc.type.dcmiTexten_US
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