AI could pose pandemic-scale biosecurity risks. Here’s how to make it safer

Jaspreet Pannu (), Sarah Gebauer, Greg McKelvey, Anita Cicero and Tom Inglesby

Nature, 2024, vol. 635, issue 8040, 808-811

Abstract: AI-enabled research might cause immense harm if it is used to design pathogens with worrying new properties. To prevent this, we need better collaboration between governments, AI developers and experts in biosafety and biosecurity.

Keywords: Machine learning; Technology; Virology; Diseases (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/d41586-024-03815-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:635:y:2024:i:8040:d:10.1038_d41586-024-03815-2

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/d41586-024-03815-2

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().