EconPapers    
Economics at your fingertips  
 

Audit AI search tools now, before they skew research

Michael Gusenbauer ()

Nature, 2023, vol. 617, issue 7961, 439-439

Abstract: Generative AI could be a boon for literature search, but only if independent groups scrutinize its biases and limitations.

Keywords: Research data; Research management; Machine learning; Scientific community (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/d41586-023-01613-w 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:617:y:2023:i:7961:d:10.1038_d41586-023-01613-w

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

DOI: 10.1038/d41586-023-01613-w

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 2025-03-19
Handle: RePEc:nat:nature:v:617:y:2023:i:7961:d:10.1038_d41586-023-01613-w