Tracing the bias loop: AI, cultural heritage and bias-mitigating in practice

This article investigates the pervasive issue of bias within AI-driven cultural heritage collections, emphasizing how digital technologies both inherit and amplify existing societal and historical prejudices embedded in analogue records. It outlines the multifaceted nature of bias—ranging from data...

Full description

Saved in:

Bibliographic Details
Published in:	AI & society Vol. 40; no. 8; pp. 5835 - 5847
Main Authors:	Foka, Anna, Griffin, Gabriele, Ortiz Pablo, Dalia, Rajkowska, Paulina, Badri, Sushruth
Format:	Journal Article
Language:	English
Published:	London Springer London 01.12.2025 Springer Nature B.V
Subjects:	Algorithms Annotations Art galleries & museums Artificial Intelligence Bias Bias mitigation Biblioteks- och informationsvetenskap Classification Computer Science Computer vision Computerized Image Processing Control Cultural heritage Cultural resources Data augmentation Data collection Datasets Datoriserad bildbehandling Digital curation Digital technology Digitization Engineering Economics Image classification Information Studies Interdisciplinarycollaboration Logistics Machine learning Marketing Mechatronics Metadata Methodology of the Social Sciences Organization Performing Arts Prejudice Representations Robotics Machine learning Cultural heritage Bias mitigation Data augmentation Interdisciplinarycollaboration Artificial intelligence Image classification
ISSN:	0951-5666, 1435-5655, 1435-5655
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	This article investigates the pervasive issue of bias within AI-driven cultural heritage collections, emphasizing how digital technologies both inherit and amplify existing societal and historical prejudices embedded in analogue records. It outlines the multifaceted nature of bias—ranging from data selection and annotation to algorithmic design and user interaction—demonstrating how each stage of the AI pipeline can introduce or perpetuate distortions in representation. Through a critical review of current scholarship and practical case studies, particularly in image classification, the article evaluates technical strategies such as data augmentation, adversarial debiasing, and monitoring plans for bias mitigation. The findings reveal that while methods like noise injection and colour jittering can balance datasets and improve model fairness, effective bias mitigation ultimately depends on interdisciplinary collaboration between heritage professionals, subject experts, and data scientists. The article concludes that addressing bias requires an ongoing, holistic approach, integrating both technical and humanistic perspectives from data collection to model deployment. This ensures more inclusive, accurate, and ethically sound representations of cultural heritage, supporting the sector’s goals of diversity and accessibility for future audiences.
AbstractList	This article investigates the pervasive issue of bias within AI-driven cultural heritage collections, emphasizing how digital technologies both inherit and amplify existing societal and historical prejudices embedded in analogue records. It outlines the multifaceted nature of bias—ranging from data selection and annotation to algorithmic design and user interaction—demonstrating how each stage of the AI pipeline can introduce or perpetuate distortions in representation. Through a critical review of current scholarship and practical case studies, particularly in image classification, the article evaluates technical strategies such as data augmentation, adversarial debiasing, and monitoring plans for bias mitigation. The findings reveal that while methods like noise injection and colour jittering can balance datasets and improve model fairness, effective bias mitigation ultimately depends on interdisciplinary collaboration between heritage professionals, subject experts, and data scientists. The article concludes that addressing bias requires an ongoing, holistic approach, integrating both technical and humanistic perspectives from data collection to model deployment. This ensures more inclusive, accurate, and ethically sound representations of cultural heritage, supporting the sector’s goals of diversity and accessibility for future audiences.
Author	Badri, Sushruth Foka, Anna Griffin, Gabriele Ortiz Pablo, Dalia Rajkowska, Paulina
Author_xml	– sequence: 1 givenname: Anna surname: Foka fullname: Foka, Anna email: anna.foka@abm.uu.se organization: Uppsala University – sequence: 2 givenname: Gabriele surname: Griffin fullname: Griffin, Gabriele email: gabriele.griffin@gender.uu.se organization: Uppsala University – sequence: 3 givenname: Dalia surname: Ortiz Pablo fullname: Ortiz Pablo, Dalia email: dalia.ortiz_pablo@abm.uu.se organization: Uppsala University – sequence: 4 givenname: Paulina surname: Rajkowska fullname: Rajkowska, Paulina organization: Uppsala University – sequence: 5 givenname: Sushruth surname: Badri fullname: Badri, Sushruth organization: Uppsala University
BackLink	https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-557015$$DView record from Swedish Publication Index (Uppsala universitet)
BookMark	eNp9kMtKxDAUhoMoOF5ewFXB7VRzbVp3g3cYcDO6DaeZtJOh09QkRfTpjTOK4MJFOFl83-E__xHa711vEDoj-IJgLC8DxoQXOaYiPcar_GMPTQhnIheFEPtogitB0r8oDtFRCGuMcSFKOkHzhQdt-zaLK5PVFkLWOTdcZbPHaabHLo4eumxlvI3Qmgz65RbKNzbaFuKXaPtsSDui1eYEHTTQBXP6PY_R893t4vohnz_dP17P5rnmmMacAADRhaZ1vTQgCi4rYFXNcMnJsuBNUxIuKaNQNQzjujbSaC4ZWRItuATOjtF0tze8mWGs1eDtBvy7cmDVjX2ZKedbNY5KCImJSPj5Dh-8ex1NiGrtRt-nhIpRSYXkJWeJKneU9i4Ebxql09HRuj56sJ0iWH1VrXZVq1S12latPpJK_6g_if6V2PcRCe5b439T_WN9AnIEkwc
CitedBy_id	crossref_primary_10_3390_app151810061 crossref_primary_10_1007_s00146_025_02498_1
Cites_doi	10.4324/9781315730479-8 10.1109/CVPR.2016.90 10.1145/3531146.3534644 10.1002/9781118486634.ch33 10.1007/978-3-030-86797-3_7 10.1016/j.annals.2011.10.004 10.1016/j.annals.2007.03.014 10.4324/9780203602263 10.1016/j.ipm.2009.03.002 10.1016/j.neunet.2018.07.011 10.1093/llc/fqac037 10.1186/s40537-019-0197-0 10.18653/v1/2022.aacl-main.61 10.1016/j.jbusres.2022.01.076 10.1007/s00146-023-01689-y 10.1515/9781782042662 10.7551/mitpress/11404.001.0001 10.1108/JCHMSD-11-2015-0045 10.1177/20539517211044808 10.5210/fm.v26i10.11562 10.2307/j.ctv1xz0wz 10.1080/08989620212968 10.1177/1527476419837739 10.1007/s00779-020-01373-8 10.7551/mitpress/14268.001.0001 10.1093/llc/fqaa055 10.1109/CVPR42600.2020.00525 10.1109/ICCV.2019.00541 10.1145/3631130 10.4324/9780429491573-2 10.1080/13527258.2013.818570 10.1086/345321 10.1080/13527258.2012.720997 10.21437/Interspeech.2022-836 10.1080/00438243.2016.1209783 10.1145/3278721.3278779 10.1002/9781118486634.ch37 10.11588/dah.2018.3.34297 10.1109/SSCI.2018.8628742 10.1007/978-3-319-97457-6_12 10.7183/2326-3768.1.2.77 10.1080/10447318.2020.1767982 10.1145/3457607 10.4337/9781803928562.00082 10.1007/978-3-319-42870-3 10.1017/CBO9781139024884 10.1068/d220t 10.1109/CAC.2017.8243510 10.1117/1.JEI.26.1.011016
ContentType	Journal Article
Copyright	The Author(s) 2025 The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml	– notice: The Author(s) 2025 – notice: The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID	C6C AAYXX CITATION 7SC 7TK 8FD JQ2 L7M L~C L~D ACNBI ADTPV AOWAS D8T DF2 ZZAVC
DOI	10.1007/s00146-025-02349-z
DatabaseName	Springer Nature OA Free Journals CrossRef Computer and Information Systems Abstracts Neurosciences Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional SWEPUB Uppsala universitet full text SwePub SwePub Articles SWEPUB Freely available online SWEPUB Uppsala universitet SwePub Articles full text
DatabaseTitle	CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest Computer Science Collection Computer and Information Systems Abstracts Neurosciences Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional
DatabaseTitleList	CrossRef Technology Research Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Computer Science
EISSN	1435-5655
EndPage	5847
ExternalDocumentID	oai_DiVA_org_uu_557015 10_1007_s00146_025_02349_z
GrantInformation_xml	– fundername: Uppsala University – fundername: Marcus och Amalia Wallenbergs minnesfond grantid: 2020.0054; 2020.0054; 2020.0054; 2020.0054; 2020.0054 funderid: https://doi.org/10.13039/501100011898
GroupedDBID	-Y2 -~C .4S .86 .DC .VR 06D 0R~ 0VY 1N0 1SB 2.D 203 23M 28- 2J2 2JN 2JY 2KG 2LR 2P1 2VQ 2~H 30V 3R3 4.4 406 408 409 40D 40E 5GY 5QI 5VS 67Z 6NX 77I 78A 8FE 8FG 8FH 8G5 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AAOBN AAPKM AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO ABAKF ABBBX ABBRH ABBXA ABDBE ABDZT ABECU ABFSG ABFTD ABFTV ABHLI ABHQN ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQSL ABRTQ ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACHSB ACHXU ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACPRK ACSTC ACYUM ACZOJ ADBBV ADHHG ADHIR ADHKG ADIMF ADKFA ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFIE AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AEOHA AEPYU AESKC AETLH AEVLU AEXYK AEZWR AFBBN AFDZB AFEXP AFFHD AFGCZ AFHIU AFKRA AFLOW AFOHR AFQWF AFWTZ AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGQPQ AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHPBZ AHSBF AHWEU AHYZX AIAKS AIGIU AIIXL AILAN AITGF AIXLP AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARAPS ARCSS ARMRJ ASPBG ATHPR AVWKF AXYYD AYFIA AYJHY AZFZN AZQEC B-. BA0 BBNVY BBWZM BDATZ BENPR BGLVJ BGNMA BHPHI BPHCQ BSONS C6C CAG CCPQU COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP DWQXO EBLON EBS EDO EIOEI EJD ESBYG FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNUQQ GNWQR GQ7 GQ8 GUQSH GXS H13 HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I09 IAO ICD ICJ IHE IJ- IKXTQ ITC ITM IWAJR IXC IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K6V K7- KDC KOV KOW LAS LK8 LLZTM M2O M4Y M7P MA- MK~ MVM N2Q NB0 NDZJH NPVJJ NQJWS NU0 O-J O9- O93 O9G O9I O9J OAM P19 P62 P9O PF0 PHGZM PHGZT PQGLB PQQKQ PROAC PSYQQ PT4 PT5 Q2X QOK QOS R-Y R4E R89 R9I RHV RNI ROL RPX RSV RZK S16 S1Z S26 S27 S28 S3B SAP SCJ SCLPG SCO SDH SDM SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE T13 T16 TSG TSK TSV TUC TUS U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WH7 WK6 WK8 YLTOR Z45 ZMTXR ~A9 ~EX AAYXX CITATION 7SC 7TK 8FD JQ2 L7M L~C L~D ACNBI ADTPV AOWAS D8T DF2 ZZAVC
ID	FETCH-LOGICAL-c402t-1aaa1c6c2bbdea56479a39b30841d64ff8147232a9f300bbe7ec4731d1c547a43
IEDL.DBID	RSV
ISICitedReferencesCount	3
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001478426500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0951-5666 1435-5655
IngestDate	Tue Dec 02 03:10:30 EST 2025 Wed Nov 19 03:59:26 EST 2025 Thu Nov 20 00:54:57 EST 2025 Tue Nov 18 20:47:30 EST 2025 Tue Nov 18 01:10:27 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	8
Keywords	Machine learning Cultural heritage Bias mitigation Data augmentation Interdisciplinarycollaboration Artificial intelligence Image classification
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c402t-1aaa1c6c2bbdea56479a39b30841d64ff8147232a9f300bbe7ec4731d1c547a43
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
OpenAccessLink	https://link.springer.com/10.1007/s00146-025-02349-z
PQID	3272574843
PQPubID	30083
PageCount	13
ParticipantIDs	swepub_primary_oai_DiVA_org_uu_557015 proquest_journals_3272574843 crossref_citationtrail_10_1007_s00146_025_02349_z crossref_primary_10_1007_s00146_025_02349_z springer_journals_10_1007_s00146_025_02349_z
PublicationCentury	2000
PublicationDate	2025-12-01
PublicationDateYYYYMMDD	2025-12-01
PublicationDate_xml	– month: 12 year: 2025 text: 2025-12-01 day: 01
PublicationDecade	2020
PublicationPlace	London
PublicationPlace_xml	– name: London
PublicationSubtitle	Journal of Knowledge, Culture and Communication
PublicationTitle	AI & society
PublicationTitleAbbrev	AI & Soc
PublicationYear	2025
Publisher	Springer London Springer Nature B.V
Publisher_xml	– name: Springer London – name: Springer Nature B.V
References	P Daly (2349_CR12) 2015 L Smith (2349_CR53) 2006 JC Wells (2349_CR62) 2015 S Dunn (2349_CR16) 2019 JL Davis (2349_CR13) 2021; 8 S Anderson (2349_CR2) 2020 2349_CR4 2349_CR5 M Makhortykh (2349_CR36) 2021 2349_CR26 2349_CR28 2349_CR29 2349_CR8 2349_CR66 L Smith (2349_CR54) 2011 2349_CR67 2349_CR68 JP Sharp (2349_CR49) 2002; 20 NB Salazar (2349_CR48) 2012; 39 M Sokolova (2349_CR55) 2009; 45 2349_CR60 K Caton (2349_CR11) 2008; 35 2349_CR61 L Argyriou (2349_CR3) 2020; 24 Z Zhong (2349_CR69) 2020; 34 G Griffin (2349_CR22) 2023 S Knell (2349_CR31) 2010 T Winter (2349_CR64) 2013; 19 B Ooghe (2349_CR42) 2009; 15 R Risam (2349_CR46) 2018 JC Wells (2349_CR63) 2016; 6 (2349_CR35) 2011 H Suresh (2349_CR56) 2021 R Harrison (2349_CR25) 2013 AM Obeso (2349_CR41) 2017; 26 2349_CR73 2349_CR74 K Emerick (2349_CR18) 2014 2349_CR32 2349_CR70 2349_CR71 2349_CR72 A Witcomb (2349_CR65) 2013; 19 M Adams (2349_CR1) 2020; 2020 EW Said (2349_CR47) 1978 M Buda (2349_CR10) 2018; 106 L Breglia (2349_CR9) 2006 AC Huster (2349_CR27) 2013; 1 JE Tunbridge (2349_CR58) 1996 A Langmead (2349_CR33) 2018 C Shorten (2349_CR51) 2019; 6 N Mehrabi (2349_CR38) 2021; 54 2349_CR44 2349_CR45 T Fahse (2349_CR19) 2021 J Gardenier (2349_CR20) 2002; 9 W Logan (2349_CR34) 2015 2349_CR43 A Mikołajczyk (2349_CR39) 2018 H Geismar (2349_CR21) 2018 S Milan (2349_CR40) 2019; 20 H Silverman (2349_CR52) 2017 K Beelen (2349_CR7) 2023; 38 L Eklund (2349_CR17) 2020; 36 2349_CR15 K Barad (2349_CR6) 2003; 28 2349_CR57 2349_CR14 Y Hamilakis (2349_CR23) 2016; 48 R Harrison (2349_CR24) 2010 I Kizhner (2349_CR30) 2021; 36 K Mallan (2349_CR37) 2006; 30 B van Giffen (2349_CR59) 2022; 144 2349_CR50
References_xml	– start-page: 78 volume-title: The Routledge companion to media studies and digital humanities year: 2018 ident: 2349_CR46 doi: 10.4324/9781315730479-8 – start-page: 249 volume-title: How to assess built heritage? Assumptions, methodologies, examples of heritage assessment systems year: 2015 ident: 2349_CR62 – ident: 2349_CR26 doi: 10.1109/CVPR.2016.90 – ident: 2349_CR43 doi: 10.1145/3531146.3534644 – start-page: 491 volume-title: A companion to heritage studies year: 2015 ident: 2349_CR12 doi: 10.1002/9781118486634.ch33 – start-page: 94 volume-title: Innovation through information systems: volume II: a collection of latest research on technology issues year: 2021 ident: 2349_CR19 doi: 10.1007/978-3-030-86797-3_7 – volume: 39 start-page: 863 issue: 2 year: 2012 ident: 2349_CR48 publication-title: Ann Tour Res doi: 10.1016/j.annals.2011.10.004 – volume: 35 start-page: 7 year: 2008 ident: 2349_CR11 publication-title: Ann Tour Res doi: 10.1016/j.annals.2007.03.014 – volume-title: Uses of heritage year: 2006 ident: 2349_CR53 doi: 10.4324/9780203602263 – volume: 15 start-page: 1082 issue: 9/10 year: 2009 ident: 2349_CR42 publication-title: D-Lib Mag – ident: 2349_CR29 – ident: 2349_CR44 – ident: 2349_CR60 – volume: 45 start-page: 427 issue: 4 year: 2009 ident: 2349_CR55 publication-title: Inf Process Manag doi: 10.1016/j.ipm.2009.03.002 – volume-title: Dissonant heritage: the management of the past as a resource in conflict year: 1996 ident: 2349_CR58 – volume: 106 start-page: 249 year: 2018 ident: 2349_CR10 publication-title: Neural Netw doi: 10.1016/j.neunet.2018.07.011 – volume: 38 start-page: 1 issue: 1 year: 2023 ident: 2349_CR7 publication-title: Digit Scholarsh Humanit doi: 10.1093/llc/fqac037 – volume-title: Monumental ambivalence: the politics of heritage year: 2006 ident: 2349_CR9 – volume: 6 start-page: 1 issue: 1 year: 2019 ident: 2349_CR51 publication-title: J Big Data doi: 10.1186/s40537-019-0197-0 – ident: 2349_CR8 doi: 10.18653/v1/2022.aacl-main.61 – volume: 144 start-page: 93 year: 2022 ident: 2349_CR59 publication-title: J Bus Res doi: 10.1016/j.jbusres.2022.01.076 – ident: 2349_CR28 – year: 2023 ident: 2349_CR22 publication-title: AI Soc doi: 10.1007/s00146-023-01689-y – volume-title: Conserving and managing ancient monuments: heritage, democracy, and inclusion year: 2014 ident: 2349_CR18 doi: 10.1515/9781782042662 – start-page: 1 volume-title: Equity and access in algorithms, mechanisms, and optimization (EAAMO '21) year: 2021 ident: 2349_CR56 – ident: 2349_CR72 doi: 10.7551/mitpress/11404.001.0001 – volume: 6 start-page: 345 issue: 3 year: 2016 ident: 2349_CR63 publication-title: J Cult Herit Manag Sustain Dev doi: 10.1108/JCHMSD-11-2015-0045 – ident: 2349_CR45 – volume: 8 start-page: 1 issue: 2 year: 2021 ident: 2349_CR13 publication-title: Big Data Soc doi: 10.1177/20539517211044808 – year: 2021 ident: 2349_CR36 publication-title: First Monday doi: 10.5210/fm.v26i10.11562 – volume-title: Museum object lessons for the digital age year: 2018 ident: 2349_CR21 doi: 10.2307/j.ctv1xz0wz – volume: 9 start-page: 65 year: 2002 ident: 2349_CR20 publication-title: Account Res doi: 10.1080/08989620212968 – volume: 34 start-page: 13001 issue: 07 year: 2020 ident: 2349_CR69 publication-title: Proc AAAI Conf Artif Intell. – volume: 20 start-page: 319 issue: 4 year: 2019 ident: 2349_CR40 publication-title: Telev New Med doi: 10.1177/1527476419837739 – volume: 30 start-page: 201 issue: 3/4 year: 2006 ident: 2349_CR37 publication-title: Can J Inf Libr Sci – volume: 24 start-page: 843 issue: 6 year: 2020 ident: 2349_CR3 publication-title: Pers Ubiquit Comput doi: 10.1007/s00779-020-01373-8 – ident: 2349_CR73 doi: 10.7551/mitpress/14268.001.0001 – ident: 2349_CR4 – volume: 36 start-page: 607 issue: 3 year: 2021 ident: 2349_CR30 publication-title: Digit Scholarsh Humanit doi: 10.1093/llc/fqaa055 – ident: 2349_CR15 doi: 10.1109/CVPR42600.2020.00525 – volume-title: Orientalism year: 1978 ident: 2349_CR47 – ident: 2349_CR61 doi: 10.1109/ICCV.2019.00541 – ident: 2349_CR5 doi: 10.1145/3631130 – start-page: 10 volume-title: The digital future of museums: conversations and provocations year: 2020 ident: 2349_CR2 doi: 10.4324/9780429491573-2 – volume: 19 start-page: 562 issue: 6 year: 2013 ident: 2349_CR65 publication-title: Int J Herit Stud doi: 10.1080/13527258.2013.818570 – start-page: 117 volume-title: Data augmentation for improving deep learning in image classification problem year: 2018 ident: 2349_CR39 – volume: 28 start-page: 801 issue: 3 year: 2003 ident: 2349_CR6 publication-title: Signs: J Women Cult Soc doi: 10.1086/345321 – volume: 19 start-page: 532 issue: 6 year: 2013 ident: 2349_CR64 publication-title: Int J Herit Stud doi: 10.1080/13527258.2012.720997 – ident: 2349_CR68 doi: 10.21437/Interspeech.2022-836 – volume: 48 start-page: 678 issue: 5 year: 2016 ident: 2349_CR23 publication-title: World Archaeol doi: 10.1080/00438243.2016.1209783 – start-page: 5 volume-title: Understanding the politics of heritage year: 2010 ident: 2349_CR24 – ident: 2349_CR66 – ident: 2349_CR67 doi: 10.1145/3278721.3278779 – ident: 2349_CR71 – volume: 2020 start-page: 48 issue: 30 year: 2020 ident: 2349_CR1 publication-title: Proc EVA London – start-page: 557 volume-title: A companion to heritage studies year: 2015 ident: 2349_CR34 doi: 10.1002/9781118486634.ch37 – ident: 2349_CR14 – year: 2018 ident: 2349_CR33 publication-title: Int J Dig Art Hist doi: 10.11588/dah.2018.3.34297 – start-page: 1 volume-title: Heritage, labour and the working classes year: 2011 ident: 2349_CR54 – ident: 2349_CR57 doi: 10.1109/SSCI.2018.8628742 – start-page: 253 volume-title: Museums and digital culture: new perspectives and research year: 2019 ident: 2349_CR16 doi: 10.1007/978-3-319-97457-6_12 – volume: 1 start-page: 77 issue: 2 year: 2013 ident: 2349_CR27 publication-title: Adv Archaeol Pract doi: 10.7183/2326-3768.1.2.77 – volume: 36 start-page: 1503 issue: 16 year: 2020 ident: 2349_CR17 publication-title: Int J Hum-Comput Interact doi: 10.1080/10447318.2020.1767982 – start-page: 3 volume-title: National museums: new studies from around the world year: 2010 ident: 2349_CR31 – volume-title: A companion to museum studies year: 2011 ident: 2349_CR35 – volume: 54 start-page: 1 issue: 6 year: 2021 ident: 2349_CR38 publication-title: ACM Comput Surv (CSUR) doi: 10.1145/3457607 – ident: 2349_CR74 doi: 10.4337/9781803928562.00082 – start-page: 3 volume-title: Heritage in action: making the past in the present year: 2017 ident: 2349_CR52 doi: 10.1007/978-3-319-42870-3 – ident: 2349_CR70 doi: 10.1017/CBO9781139024884 – volume: 20 start-page: 155 issue: 2 year: 2002 ident: 2349_CR49 publication-title: Environ Plann d: Soc Space doi: 10.1068/d220t – ident: 2349_CR50 doi: 10.1109/CAC.2017.8243510 – volume-title: Heritage: critical approaches year: 2013 ident: 2349_CR25 – ident: 2349_CR32 – volume: 26 start-page: 011016 issue: 1 year: 2017 ident: 2349_CR41 publication-title: J Electron Imaging doi: 10.1117/1.JEI.26.1.011016
SSID	ssj0006582
Score	2.3777175
Snippet	This article investigates the pervasive issue of bias within AI-driven cultural heritage collections, emphasizing how digital technologies both inherit and...
SourceID	swepub proquest crossref springer
SourceType	Open Access Repository Aggregation Database Enrichment Source Index Database Publisher
StartPage	5835
SubjectTerms	Algorithms Annotations Art galleries & museums Artificial Intelligence Bias Bias mitigation Biblioteks- och informationsvetenskap Classification Computer Science Computer vision Computerized Image Processing Control Cultural heritage Cultural resources Data augmentation Data collection Datasets Datoriserad bildbehandling Digital curation Digital technology Digitization Engineering Economics Image classification Information Studies Interdisciplinarycollaboration Logistics Machine learning Marketing Mechatronics Metadata Methodology of the Social Sciences Organization Performing Arts Prejudice Representations Robotics
Title	Tracing the bias loop: AI, cultural heritage and bias-mitigating in practice
URI	https://link.springer.com/article/10.1007/s00146-025-02349-z https://www.proquest.com/docview/3272574843 https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-557015
Volume	40
WOSCitedRecordID	wos001478426500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 1435-5655 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0006582 issn: 0951-5666 databaseCode: RSV dateStart: 19970101 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8QwEA6-Dl58i-uLHPSkgbZJm8bb4gOFZRHUxVtI0kQK2spu14O_3qRtuiiyoOcmkzJJZr6QfN8AcGKwMhHOBIq1JIjEKkKMqQRRoSMhY611Xe5tNKDDYfr8zO5bUtjEv3b3V5J1pO7Ibg7NuwezjlGMCUOfi2A5dmoz7oz-MOrir82pkS8gb8FK0lJlfrfxPR3NMGZ3LfpDQrROOzfr__vhDbDWwkzYb9bFJljQxRZY9yUcYLujt8HA5ipljUKLA6HMxQS-luX7BezfnUMvygEdRbCycQeKIqsbobe8keawHfMCeqbVDni6uX68vEVtgQWk7LGxQqEQIlSJiqTMtIgTQpnATOIgJWGWEGPSkFALuQQzOAik1FQrQnGYhSomVBC8C5aKstB7AAoLnAKjU2uMERqw1DhSq1EqNUYmRPVA6P3MVas-7opgvPJON7l2F7fu4rW7-GcPnHV93hvtjbmtD_308XYfTjiOqI1JJCW4B879LM0-z7N22kx7N7LT4b7KR31ejl_4dMqddlkY7__N7AFYjdyCqN_DHIKlajzVR2BFfVT5ZHxcr-MvWZHs3g
linkProvider	Springer Nature
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1JS8QwFH64gV7cxXHNQU8aaJt0ibfBBcVxENTBW0jSRArakVk8-OtNOk1FEUHPTV7KS_LeF5LvewAHhigTkVzgWEuKaawizJhKcCp0JGSsta7KvfU6abebPT6y25oUNvSv3f2VZBWpG7KbQ_PuwaxjFBPK8Ps0zFJXZsed0e96Tfy1OTXyBeQtWElqqszPNr6mo0-M2VyLfpMQrdLOxdL_fngZFmuYidqTdbECU7pchSVfwgHVO3oNOjZXKWsUWRyIZCGG6Lnffz1B7atj5EU5kKMIjmzcQaLMq0b4pZhIc9iORYk802odHi7O708vcV1gASt7bBzhUAgRqkRFUuZaxAlNmSBMkiCjYZ5QYzLrXQu5BDMkCKTUqVY0JWEeqpimgpINmCn7pd4EJCxwCozOrDFG04BlxpFajVKZMTKhqgWh9zNXtfq4K4LxzBvd5Mpd3LqLV-7i7y04avq8TrQ3fm2946eP1_twyEmU2phEM0pacOxn6fPzb9YOJ9PejOx0uM-KXpv3B098POZOuyyMt_5mdh_mL-9vOrxz1b3ehoXILY7qbcwOzIwGY70Lc-ptVAwHe9Wa_gB7x-_C
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT9wwEB61tKq4QCmtWB7FBziBRRI7ccxtBayKWK0QlBU3y3ZsFIlmV7tZDvx67LygCCFVPcceR-PxzFie7xuAPUu0jUgmcWwUxTTWEeZcJ5hJE0kVG2Oqdm_jIRuN0ttbfvkCxV9Vu7dPkjWmwbM0FeXRNLNHHfDNZ_a-eNajiwnl-PEjfKLuJuOLuq6ux50vdvE1apvJu8QlaWAzb8v4OzQ955vdE-krOtEqBA1W___nv8JKk36ifm0va_DBFN9gtW3tgJqTvg5DF8O0WwC5_BCpXM7R_WQyPUb980PUknUgDx0snT9CssiqQfhPXlN2uIl5gVoE1ne4GZz9PvmFm8YLWLvrZIlDKWWoEx0plRkZJ5RxSbgiQUrDLKHWpiFlLhWT3JIgUMowoykjYRbqmDJJyQ9YKiaF2QAkXUIVWJM6YZyygKfWg12t1qm1KqG6B2Grc6EbVnLfHONedHzKlbqEU5eo1CUee3DQzZnWnBzvjt5ut1I053MuSMScr6IpJT04bHfs-fN70vZrE-hW9vzcp_m4LyazO7FYCM9pFsab_yZ2F75cng7E8Hx0sQXLkbeNqmRmG5bK2cLswGf9UObz2c_KvJ8AhVz4pg
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Tracing+the+bias+loop%3A+AI%2C+cultural+heritage+and+bias-mitigating+in+practice&rft.jtitle=AI+%26+society&rft.au=Foka%2C+Anna&rft.au=Griffin%2C+Gabriele&rft.au=Ortiz+Pablo%2C+Dalia&rft.au=Rajkowska%2C+Paulina&rft.date=2025-12-01&rft.pub=Springer+Nature+B.V&rft.issn=0951-5666&rft.eissn=1435-5655&rft.volume=40&rft.issue=8&rft.spage=5835&rft.epage=5847&rft_id=info:doi/10.1007%2Fs00146-025-02349-z&rft.externalDBID=HAS_PDF_LINK
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0951-5666&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0951-5666&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0951-5666&client=summon