Vai al contenuto principale della pagina

Equitable algorithms : examining ways to reduce AI bias in financial services : hearing before the Task Force on Artificial Intelligence of the Committee on Financial Services, U.S. House of Representatives, One Hundred Sixteenth Congress, second session, February 12, 2020



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Titolo: Equitable algorithms : examining ways to reduce AI bias in financial services : hearing before the Task Force on Artificial Intelligence of the Committee on Financial Services, U.S. House of Representatives, One Hundred Sixteenth Congress, second session, February 12, 2020 Visualizza cluster
Pubblicazione: Washington : , : U.S. Government Publishing Office, , 2021
Descrizione fisica: 1 online resource (v, 121 pages) : illustrations
Soggetto topico: Financial engineering - United States
Artificial intelligence
Financial services industry - United States
Consumer protection - United States
Computer algorithms
Soggetto genere / forma: Legislative hearings.
Note generali: Access ID (govinfo): CHRG-116hhrg42821.
"Serial no. 116-87."
Nota di bibliografia: Includes bibliographical references.
Altri titoli varianti: Equitable algorithms
Titolo autorizzato: Equitable algorithms  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910715363203321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui