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

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Bibliographic Details
Corporate Author: United States. Congress. House. Committee on Financial Services. Task Force on Artificial Intelligence (Author)
Format: Online Book
Language:English
Published: Washington : U.S. Government Publishing Office, 2021
Subjects:
Online Access:https://purl.fdlp.gov/GPO/gpo151859
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003 OCoLC
005 20211203032902.0
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110 1 |a United States.  |b Congress.  |b House.  |b Committee on Financial Services.  |b Task Force on Artificial Intelligence,  |e author 
245 1 0 |a Equitable algorithms :  |b 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 
246 3 0 |a Examining ways to. reduce AI bias in financial services 
260 |a Washington :  |b U.S. Government Publishing Office,  |c 2021 
300 |a v, 121 pages :  |b illustrations ;  |c 24 cm 
500 |a Shipping list no.: 2021-0141-P 
500 |a "Serial no. 116-87." 
504 |a Includes bibliographical references 
650 0 |a Financial engineering  |z United States 
650 0 |a Artificial intelligence 
650 0 |a Financial services industry  |z United States 
650 0 |a Consumer protection  |z United States 
650 0 |a Computer algorithms 
776 0 8 |i Online version:  |a United States. Congress. House. Committee on Financial Services. Task Force on Artificial Intelligence.  |t Equitable algorithms  |w (OCoLC)1238100140 
856 4 1 |u https://purl.fdlp.gov/GPO/gpo151859 
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998 |a docs 
999 |c 131267 
852 |a Law Library  |b Government Documents  |h GOVDOCS Y 4.F 49/20:116-87  |p 33940004615579