LEADER 01667nam 2200457 450 001 9910715363203321 005 20210223074927.0 024 8 $a42-821 035 $a(CKB)5470000002510401 035 $a(OCoLC)1238100140 035 $a(EXLCZ)995470000002510401 100 $a20210223d2021 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEquitable algorithms $eexamining ways to reduce AI bias in financial services : hearing before the Task Force on Artificial Intelligence of the Committee on Financial Services, U.S. House of Representatives, One Hundred Sixteenth Congress, second session, February 12, 2020 210 1$aWashington :$cU.S. Government Publishing Office,$d2021. 215 $a1 online resource (v, 121 pages) $cillustrations 300 $aAccess ID (govinfo): CHRG-116hhrg42821. 300 $a"Serial no. 116-87." 320 $aIncludes bibliographical references. 517 $aEquitable algorithms 606 $aFinancial engineering$zUnited States 606 $aArtificial intelligence 606 $aFinancial services industry$zUnited States 606 $aConsumer protection$zUnited States 606 $aComputer algorithms 608 $aLegislative hearings.$2lcgft 615 0$aFinancial engineering 615 0$aArtificial intelligence. 615 0$aFinancial services industry 615 0$aConsumer protection 615 0$aComputer algorithms. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910715363203321 996 $aEquitable algorithms$93454211 997 $aUNINA