liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
‘Intersectional hallucinations’: why AI struggles to understand that a six-year-old can’t be a doctor or claim a pension
Linköpings universitet, Institutionen för tema, Tema Genus. Linköpings universitet, Filosofiska fakulteten.ORCID-id: 0000-0001-5041-5018
2024 (engelsk)Inngår i: The Conversation UK, ISSN 2201-5639Artikkel i tidsskrift, Editorial material (Annet vitenskapelig) Published
sted, utgiver, år, opplag, sider
The Conversation Media Group Ltd , 2024.
Identifikatorer
URN: urn:nbn:se:liu:diva-206844OAI: oai:DiVA.org:liu-206844DiVA, id: diva2:1891826
Merknad

Funding Agencies| Funding for this research has been provided by WASP-HS, Vinnova - The Swedish Innovation Agency, and Linköping University. Ericka Johnson is the co-program director of the Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), where she leads the national Graduate School. She and Saghi Hajisharif are co-founders of the spin-off Fair AI Data. 

Tilgjengelig fra: 2024-08-23 Laget: 2024-08-23 Sist oppdatert: 2024-08-23

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Förlagets fulltext/Publisher's full text

Person

Johnson, Ericka

Søk i DiVA

Av forfatter/redaktør
Johnson, Ericka
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric

urn-nbn
Totalt: 378 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf