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
|
| 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 |
| 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 |