AI image generators often give racist and sexist results: can they be fixed?

Ananya

Nature, 2024, vol. 627, issue 8005, 722-725

Abstract: Researchers are tracing sources of racial and gender bias in images generated by artificial intelligence, and making efforts to fix them.

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

Downloads: (external link)
https://www.nature.com/articles/d41586-024-00674-9 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:627:y:2024:i:8005:d:10.1038_d41586-024-00674-9

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

DOI: 10.1038/d41586-024-00674-9

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 ().