Artificial Intelligence and Race: a Systematic Review

This paper examines peer-reviewed publications to learn about the relationships between artificial intelligence (AI) and the human race. For this systematic review, papers were collected from three academic databases: Scopus, Web of Science, and Academic Search Complete. From 1,222 papers reviewed,...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Legal information management 2020-06, Vol.20 (2), p.74-84
Hauptverfasser: Intahchomphoo, Channarong, Gundersen, Odd Erik
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 84
container_issue 2
container_start_page 74
container_title Legal information management
container_volume 20
creator Intahchomphoo, Channarong
Gundersen, Odd Erik
description This paper examines peer-reviewed publications to learn about the relationships between artificial intelligence (AI) and the human race. For this systematic review, papers were collected from three academic databases: Scopus, Web of Science, and Academic Search Complete. From 1,222 papers reviewed, 36 papers were included. The findings indicate that there are four relationships between AI and race (i). AI causes unequal opportunities for people from certain racial groups, (ii). AI helps to detect racial discrimination, (iii). AI is applied to study health conditions of specific racial population groups, and (iv). AI is used to study demographics and facial images of people from different racial backgrounds. To widen the knowledge related to AI and race, all four finding categories in this review included supplementary studies as lessons learned for legal information management research. The authors, Channarong Intahchomphoo and Odd Erik Gundersen, use these findings to discuss how AI could impact libraries and how legal information management professionals might have to cope with the problem of biased AI.
doi_str_mv 10.1017/S1472669620000183
format Article
fullrecord <record><control><sourceid>proquest_rmit_</sourceid><recordid>TN_cdi_proquest_journals_2442778504</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S1472669620000183</cupid><informt_id>10.3316/agispt.20201001037630</informt_id><sourcerecordid>2442778504</sourcerecordid><originalsourceid>FETCH-LOGICAL-c439t-26a4e1080908d14fc05fde539f5bb2de419c9d5386fc81f49ed8af628100fe163</originalsourceid><addsrcrecordid>eNqVkE1LAzEQhhdR8PMHeFvwvDqTZLO73kT8KBQEP84hTSZtpN2tSVT6702t4kE8mMuEzDtP5n2L4hjhFAGbswcUDZOykwzywZZvFXvYCKwYMNzO99yu1v3dYj_GZwBWc6z3ivoiJO-88XpejvpE87mfUm-o1L0t77Wh81KXD6uYaKGTN-U9vXl6Pyx2nJ5HOvqqB8XT9dXj5W01vrsZXV6MKyN4lyomtSCEFjpoLQpnoHaWat65ejJhlgR2prM1b6UzLTrRkW21k6xFAEco-UFxsuEuw_DySjGp5-E19PlLxYRgTdPWILIKNyoThhgDObUMfqHDSiGodTrqVzp55nYzExY-KT31cZlUJB3MTPneDZ_PQ5gqO_g1hnOU37IcKeQNEXgjOWTU-DdqltIyKquT_j-Of7nRi0nwdko_pv_28wGYmpdn</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2442778504</pqid></control><display><type>article</type><title>Artificial Intelligence and Race: a Systematic Review</title><source>HeinOnline Law Journal Library</source><source>Cambridge University Press Journals Complete</source><creator>Intahchomphoo, Channarong ; Gundersen, Odd Erik</creator><creatorcontrib>Intahchomphoo, Channarong ; Gundersen, Odd Erik</creatorcontrib><description>This paper examines peer-reviewed publications to learn about the relationships between artificial intelligence (AI) and the human race. For this systematic review, papers were collected from three academic databases: Scopus, Web of Science, and Academic Search Complete. From 1,222 papers reviewed, 36 papers were included. The findings indicate that there are four relationships between AI and race (i). AI causes unequal opportunities for people from certain racial groups, (ii). AI helps to detect racial discrimination, (iii). AI is applied to study health conditions of specific racial population groups, and (iv). AI is used to study demographics and facial images of people from different racial backgrounds. To widen the knowledge related to AI and race, all four finding categories in this review included supplementary studies as lessons learned for legal information management research. The authors, Channarong Intahchomphoo and Odd Erik Gundersen, use these findings to discuss how AI could impact libraries and how legal information management professionals might have to cope with the problem of biased AI.</description><identifier>ISSN: 1472-6696</identifier><identifier>EISSN: 1741-2021</identifier><identifier>DOI: 10.1017/S1472669620000183</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Animal cognition ; ARTIFICIAL INTELLIGENCE ; Automation ; Bias ; Current Interests ; Human beings ; Information management ; Information services ; Law ; LAW LIBRARIES ; Legal information ; LEGAL RESEARCH ; Race ; Race discrimination ; RACIAL DISCRIMINATION ; Researchers ; Society ; Systematic review</subject><ispartof>Legal information management, 2020-06, Vol.20 (2), p.74-84</ispartof><rights>Copyright © The Author(s) 2020. Published by British and Irish Association of Law Librarians</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c439t-26a4e1080908d14fc05fde539f5bb2de419c9d5386fc81f49ed8af628100fe163</citedby><cites>FETCH-LOGICAL-c439t-26a4e1080908d14fc05fde539f5bb2de419c9d5386fc81f49ed8af628100fe163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S1472669620000183/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,780,784,27924,27925,55628</link.rule.ids></links><search><creatorcontrib>Intahchomphoo, Channarong</creatorcontrib><creatorcontrib>Gundersen, Odd Erik</creatorcontrib><title>Artificial Intelligence and Race: a Systematic Review</title><title>Legal information management</title><addtitle>Legal Information Management</addtitle><description>This paper examines peer-reviewed publications to learn about the relationships between artificial intelligence (AI) and the human race. For this systematic review, papers were collected from three academic databases: Scopus, Web of Science, and Academic Search Complete. From 1,222 papers reviewed, 36 papers were included. The findings indicate that there are four relationships between AI and race (i). AI causes unequal opportunities for people from certain racial groups, (ii). AI helps to detect racial discrimination, (iii). AI is applied to study health conditions of specific racial population groups, and (iv). AI is used to study demographics and facial images of people from different racial backgrounds. To widen the knowledge related to AI and race, all four finding categories in this review included supplementary studies as lessons learned for legal information management research. The authors, Channarong Intahchomphoo and Odd Erik Gundersen, use these findings to discuss how AI could impact libraries and how legal information management professionals might have to cope with the problem of biased AI.</description><subject>Animal cognition</subject><subject>ARTIFICIAL INTELLIGENCE</subject><subject>Automation</subject><subject>Bias</subject><subject>Current Interests</subject><subject>Human beings</subject><subject>Information management</subject><subject>Information services</subject><subject>Law</subject><subject>LAW LIBRARIES</subject><subject>Legal information</subject><subject>LEGAL RESEARCH</subject><subject>Race</subject><subject>Race discrimination</subject><subject>RACIAL DISCRIMINATION</subject><subject>Researchers</subject><subject>Society</subject><subject>Systematic review</subject><issn>1472-6696</issn><issn>1741-2021</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqVkE1LAzEQhhdR8PMHeFvwvDqTZLO73kT8KBQEP84hTSZtpN2tSVT6702t4kE8mMuEzDtP5n2L4hjhFAGbswcUDZOykwzywZZvFXvYCKwYMNzO99yu1v3dYj_GZwBWc6z3ivoiJO-88XpejvpE87mfUm-o1L0t77Wh81KXD6uYaKGTN-U9vXl6Pyx2nJ5HOvqqB8XT9dXj5W01vrsZXV6MKyN4lyomtSCEFjpoLQpnoHaWat65ejJhlgR2prM1b6UzLTrRkW21k6xFAEco-UFxsuEuw_DySjGp5-E19PlLxYRgTdPWILIKNyoThhgDObUMfqHDSiGodTrqVzp55nYzExY-KT31cZlUJB3MTPneDZ_PQ5gqO_g1hnOU37IcKeQNEXgjOWTU-DdqltIyKquT_j-Of7nRi0nwdko_pv_28wGYmpdn</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Intahchomphoo, Channarong</creator><creator>Gundersen, Odd Erik</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>88C</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>M0T</scope><scope>M1O</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20200601</creationdate><title>Artificial Intelligence and Race: a Systematic Review</title><author>Intahchomphoo, Channarong ; Gundersen, Odd Erik</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c439t-26a4e1080908d14fc05fde539f5bb2de419c9d5386fc81f49ed8af628100fe163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Animal cognition</topic><topic>ARTIFICIAL INTELLIGENCE</topic><topic>Automation</topic><topic>Bias</topic><topic>Current Interests</topic><topic>Human beings</topic><topic>Information management</topic><topic>Information services</topic><topic>Law</topic><topic>LAW LIBRARIES</topic><topic>Legal information</topic><topic>LEGAL RESEARCH</topic><topic>Race</topic><topic>Race discrimination</topic><topic>RACIAL DISCRIMINATION</topic><topic>Researchers</topic><topic>Society</topic><topic>Systematic review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Intahchomphoo, Channarong</creatorcontrib><creatorcontrib>Gundersen, Odd Erik</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Library &amp; Information Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Library &amp; Information Sciences Abstracts (LISA)</collection><collection>Library &amp; Information Science Abstracts (LISA)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Healthcare Administration Database</collection><collection>Library Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Legal information management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Intahchomphoo, Channarong</au><au>Gundersen, Odd Erik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Artificial Intelligence and Race: a Systematic Review</atitle><jtitle>Legal information management</jtitle><addtitle>Legal Information Management</addtitle><date>2020-06-01</date><risdate>2020</risdate><volume>20</volume><issue>2</issue><spage>74</spage><epage>84</epage><pages>74-84</pages><issn>1472-6696</issn><eissn>1741-2021</eissn><abstract>This paper examines peer-reviewed publications to learn about the relationships between artificial intelligence (AI) and the human race. For this systematic review, papers were collected from three academic databases: Scopus, Web of Science, and Academic Search Complete. From 1,222 papers reviewed, 36 papers were included. The findings indicate that there are four relationships between AI and race (i). AI causes unequal opportunities for people from certain racial groups, (ii). AI helps to detect racial discrimination, (iii). AI is applied to study health conditions of specific racial population groups, and (iv). AI is used to study demographics and facial images of people from different racial backgrounds. To widen the knowledge related to AI and race, all four finding categories in this review included supplementary studies as lessons learned for legal information management research. The authors, Channarong Intahchomphoo and Odd Erik Gundersen, use these findings to discuss how AI could impact libraries and how legal information management professionals might have to cope with the problem of biased AI.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/S1472669620000183</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1472-6696
ispartof Legal information management, 2020-06, Vol.20 (2), p.74-84
issn 1472-6696
1741-2021
language eng
recordid cdi_proquest_journals_2442778504
source HeinOnline Law Journal Library; Cambridge University Press Journals Complete
subjects Animal cognition
ARTIFICIAL INTELLIGENCE
Automation
Bias
Current Interests
Human beings
Information management
Information services
Law
LAW LIBRARIES
Legal information
LEGAL RESEARCH
Race
Race discrimination
RACIAL DISCRIMINATION
Researchers
Society
Systematic review
title Artificial Intelligence and Race: a Systematic Review
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T05%3A17%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_rmit_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Artificial%20Intelligence%20and%20Race:%20a%20Systematic%20Review&rft.jtitle=Legal%20information%20management&rft.au=Intahchomphoo,%20Channarong&rft.date=2020-06-01&rft.volume=20&rft.issue=2&rft.spage=74&rft.epage=84&rft.pages=74-84&rft.issn=1472-6696&rft.eissn=1741-2021&rft_id=info:doi/10.1017/S1472669620000183&rft_dat=%3Cproquest_rmit_%3E2442778504%3C/proquest_rmit_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2442778504&rft_id=info:pmid/&rft_cupid=10_1017_S1472669620000183&rft_informt_id=10.3316/agispt.20201001037630&rfr_iscdi=true