A call for built-in biosecurity safeguards for generative AI tools
Nat Biotechnol
.
2025 Jun;43(6):845-847.
doi: 10.1038/s41587-025-02650-8.
Authors
Mengdi Wang
1
,
Zaixi Zhang
2
,
Amrit Singh Bedi
3
,
Alvaro Velasquez
4
,
Stephanie Guerra
5
,
Sheng Lin-Gibson
5
,
Le Cong
6
,
Yuanhao Qu
6
,
Souradip Chakraborty
7
,
Megan Blewett
8
,
Jian Ma
9
,
Eric Xing
9
10
,
George Church
11
Affiliations
1
AI Lab, Princeton University, Princeton, NJ, USA. mengdiw@princeton.edu.
2
AI Lab, Princeton University, Princeton, NJ, USA.
3
Department of Computer Science, University of Central Florida, Orlando, FL, USA.
4
Defense Advanced Research Projects Agency, Ballston, VA, USA.
5
National Institute of Standards and Technology, Gaithersburg, MD, USA.
6
Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA.
7
Department of Computer Science, University of Maryland, College Park, MD, USA.
8
Iris Medicine, Palo Alto, CA, USA.
9
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.
10
Mohamed bin Zayed University of AI, Abu Dhabi, United Arab Emirates.
11
Department of Genetics, Harvard Medical School, Harvard University, Boston, MA, USA.
PMID:
40295784
DOI:
10.1038/s41587-025-02650-8
No abstract available
Publication types
Letter