{"id":"https://openalex.org/W7161833664","doi":"https://doi.org/10.1145/3805689.3812222","title":"Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics","display_name":"Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics","publication_year":2026,"publication_date":"2026-06-25","ids":{"openalex":"https://openalex.org/W7161833664","doi":"https://doi.org/10.1145/3805689.3812222"},"language":null,"primary_location":{"id":"doi:10.1145/3805689.3812222","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805689.3812222","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805689.3812222","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052226974","display_name":"Nari Johnson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Nari Johnson","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom, and Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0009-0008-3180-3582","affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom, and Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I4210164937","https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120024802","display_name":"Deepthi Sudharsan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115611","display_name":"Allergan (India)","ror":"https://ror.org/023qwjb45","country_code":"IN","type":"company","lineage":["https://openalex.org/I2948728702","https://openalex.org/I4210115611"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepthi Sudharsan","raw_affiliation_strings":["RiskSpan, Bangalore, India"],"raw_orcid":"https://orcid.org/0000-0002-1990-3010","affiliations":[{"raw_affiliation_string":"RiskSpan, Bangalore, India","institution_ids":["https://openalex.org/I4210115611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136584926","display_name":"Hamna","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hamna","raw_affiliation_strings":["Microsoft Research, Bengaluru, India"],"raw_orcid":"https://orcid.org/0009-0008-9684-1192","affiliations":[{"raw_affiliation_string":"Microsoft Research, Bengaluru, India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136535854","display_name":"Samantha Dalal","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Samantha Dalal","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom, and Princeton University, Princeton, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0002-5604-055X","affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom, and Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843","https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136593626","display_name":"Theo Holroyd","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152609","display_name":"Stephen Cottage Hospital","ror":"https://ror.org/0560ehd58","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I4210093322","https://openalex.org/I4210152609"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Theo Holroyd","raw_affiliation_strings":["The Stephen Perse Foundation, Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0005-4529-3358","affiliations":[{"raw_affiliation_string":"The Stephen Perse Foundation, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210152609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015598933","display_name":"Anja Thieme","orcid":"https://orcid.org/0000-0002-9639-5531"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anja Thieme","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-9639-5531","affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136597893","display_name":"Hoda Heidari","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hoda Heidari","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3710-4076","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039025754","display_name":"Daniela Massiceti","orcid":"https://orcid.org/0000-0002-1273-0591"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniela Massiceti","raw_affiliation_strings":["Microsoft Research, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1273-0591","affiliations":[{"raw_affiliation_string":"Microsoft Research, Sydney, Australia","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106306824","display_name":"J. Vaughan","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4401726785","display_name":"Microsoft Research New York City (United States)","ror":"https://ror.org/056zprp28","country_code":null,"type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4401726785"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Wortman Vaughan","raw_affiliation_strings":["Microsoft Research, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-7807-2018","affiliations":[{"raw_affiliation_string":"Microsoft Research, New York, NY, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4401726785"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136568154","display_name":"Cecily Morrison","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cecily Morrison","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-5013-3715","affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"714","last_page":"774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.3472000062465668,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.3472000062465668,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13194","display_name":"ICT in Developing Communities","score":0.06719999760389328,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10803","display_name":"Innovative Human-Technology Interaction","score":0.06159999966621399,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/operationalization","display_name":"Operationalization","score":0.9150000214576721},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.7189000248908997},{"id":"https://openalex.org/keywords/rubric","display_name":"Rubric","score":0.6970999836921692},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4392000138759613},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.40130001306533813},{"id":"https://openalex.org/keywords/conceptualization","display_name":"Conceptualization","score":0.3684999942779541}],"concepts":[{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.9150000214576721},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7189000248908997},{"id":"https://openalex.org/C111640148","wikidata":"https://www.wikidata.org/wiki/Q847349","display_name":"Rubric","level":2,"score":0.6970999836921692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5121999979019165},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4392000138759613},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.40130001306533813},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38019999861717224},{"id":"https://openalex.org/C90734943","wikidata":"https://www.wikidata.org/wiki/Q17008777","display_name":"Conceptualization","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3652999997138977},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.31450000405311584},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3133000135421753},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.31299999356269836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.2651999890804291},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C140688305","wikidata":"https://www.wikidata.org/wiki/Q5885","display_name":"Tamil","level":2,"score":0.2565999925136566}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3805689.3812222","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805689.3812222","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2604.02406","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2604.02406","pdf_url":"https://arxiv.org/pdf/2604.02406","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3805689.3812222","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805689.3812222","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7350946068763733}],"awards":[{"id":"https://openalex.org/G621686876","display_name":null,"funder_award_id":"IIS2229881","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Measurement":[0],"is":[1],"essential":[2],"to":[3,30,45,58,85,111,119,139,199],"improving":[4],"AI":[5,15,24],"performance":[6],"and":[7,22,39,62,103,129,164,175,192,229],"mitigating":[8],"harms":[9],"for":[10,55,72],"marginalized":[11],"groups.":[12],"As":[13],"generative":[14],"systems":[16],"are":[17],"rapidly":[18],"deployed":[19],"across":[20,35],"geographies":[21],"contexts,":[23],"measurement":[25,47,56,74,101,107,131,213],"practices":[26],"must":[27],"be":[28,49,86,200,209,217],"designed":[29],"support":[31],"repeatable,":[32],"automatable":[33],"application":[34],"different":[36],"models,":[37],"datasets,":[38],"evaluation":[40],"settings.":[41],"But":[42],"the":[43,53,60,95,106,124,144,170,227],"drive":[44],"automate":[46],"can":[48,208],"in":[50,123,142,149,169],"tension":[51],"with":[52,160,189],"ability":[54],"instruments":[57,214],"capture":[59],"expertise":[61],"perspectives":[63],"of":[64,146,153,173,177,231],"communities":[65,141],"impacted":[66],"by":[67],"AI.":[68],"Recent":[69],"work":[70],"advocates":[71],"breaking":[73],"into":[75,88,98,211],"several":[76],"key":[77],"stages:":[78],"first":[79],"moving":[80],"from":[81],"an":[82,117],"abstract":[83],"concept":[84,97,145],"measured":[87],"a":[89,99,220],"precise":[90],"systematized":[91,96,181,206],"concept;":[92],"next":[93],"operationalizing":[94,128],"concrete":[100],"instrument;":[102],"finally":[104],"applying":[105,130],"instrument":[108],"on":[109,226],"data":[110],"produce":[112],"measurements.":[113],"This":[114],"opens":[115],"up":[116],"opportunity":[118],"incorporate":[120],"community":[121,184],"engagement":[122],"systematization":[125],"phase":[126],"before":[127],"instruments.":[132],"In":[133],"this":[134],"paper,":[135],"we":[136],"explore":[137,203],"how":[138,193,204],"involve":[140],"systematizing":[143],"\u201ccultural":[147],"appropriateness\u201d":[148],"text-to-image":[150],"models'":[151],"representation":[152],"culturally":[154],"significant":[155],"artifacts":[156],"through":[157],"case":[158],"studies":[159],"three":[161],"communities:":[162],"blind":[163],"low":[165],"vision":[166],"individuals":[167],"residing":[168],"UK,":[171],"residents":[172,176],"Kerala,":[174],"Tamil":[178],"Nadu.":[179],"Our":[180],"concepts":[182,207],"reflect":[183,225],"members'":[185],"lived":[186],"experiences":[187],"interacting":[188],"each":[190],"artifact":[191],"they":[194],"want":[195],"their":[196],"material":[197],"culture":[198],"depicted.":[201],"We":[202,224],"these":[205],"operationalized":[210],"automated":[212],"that":[215],"could":[216],"applied":[218],"using":[219],"multimodal":[221],"LLM-as-a-judge":[222],"approach.":[223],"benefits":[228],"limitations":[230],"such":[232],"approaches.":[233]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-05-21T00:00:00"}
