EconPapers    
Economics at your fingertips  
 

Customizable AI systems that anyone can adapt bring big opportunities — and even bigger risks

Yarin Gal () and Stephen Casper

Nature, 2025, vol. 646, issue 8084, 286-287

Abstract: Open and adaptable artificial-intelligence models are crucial for scientific progress, but robust safeguards against their misuse are still nascent.

Keywords: Computer science; Machine learning; Policy (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/d41586-025-03228-9 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:646:y:2025:i:8084:d:10.1038_d41586-025-03228-9

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

DOI: 10.1038/d41586-025-03228-9

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 ().

 
Page updated 2025-10-08
Handle: RePEc:nat:nature:v:646:y:2025:i:8084:d:10.1038_d41586-025-03228-9