{"id":"https://openalex.org/W7166516926","doi":"https://doi.org/10.1145/3805689.3812220","title":"Disclosure or Marketing? Analyzing the Efficacy of Vendor Self-reports for Vetting Public-sector AI","display_name":"Disclosure or Marketing? Analyzing the Efficacy of Vendor Self-reports for Vetting Public-sector AI","publication_year":2026,"publication_date":"2026-06-25","ids":{"openalex":"https://openalex.org/W7166516926","doi":"https://doi.org/10.1145/3805689.3812220"},"language":null,"primary_location":{"id":"doi:10.1145/3805689.3812220","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805689.3812220","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":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805689.3812220","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116337264","display_name":"Blaine Kuehnert","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":"Blaine Kuehnert","raw_affiliation_strings":["CMU, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0009-0001-5702-5693","affiliations":[{"raw_affiliation_string":"CMU, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052226974","display_name":"Nari Johnson","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":"Nari Johnson","raw_affiliation_strings":["CMU, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0009-0008-3180-3582","affiliations":[{"raw_affiliation_string":"CMU, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065366021","display_name":"Ravit Dotan","orcid":"https://orcid.org/0000-0002-9646-8315"},"institutions":[{"id":"https://openalex.org/I4210146707","display_name":"Edge Case Research (United States)","ror":"https://ror.org/03zrkam54","country_code":"US","type":"company","lineage":["https://openalex.org/I4210146707"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravit Dotan","raw_affiliation_strings":["TechBetter, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0002-9646-8315","affiliations":[{"raw_affiliation_string":"TechBetter, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I4210146707"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037735812","display_name":"Hoda Heidari","orcid":"https://orcid.org/0000-0003-3710-4076"},"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":["CMU, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0003-3710-4076","affiliations":[{"raw_affiliation_string":"CMU, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":"687","last_page":"713"},"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":0.1695999950170517,"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":0.1695999950170517,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.08950000256299973,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T13718","display_name":"Media Influence and Politics","score":0.03310000151395798,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vetting","display_name":"Vetting","score":0.9144999980926514},{"id":"https://openalex.org/keywords/vendor","display_name":"Vendor","score":0.5234000086784363},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.28949999809265137},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.26840001344680786},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.26440000534057617}],"concepts":[{"id":"https://openalex.org/C2777230681","wikidata":"https://www.wikidata.org/wiki/Q7923820","display_name":"Vetting","level":2,"score":0.9144999980926514},{"id":"https://openalex.org/C2777338717","wikidata":"https://www.wikidata.org/wiki/Q1762621","display_name":"Vendor","level":2,"score":0.5234000086784363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4587000012397766},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.44029998779296875},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2777999937534332},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2741999924182892},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805689.3812220","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805689.3812220","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"}],"best_oa_location":{"id":"doi:10.1145/3805689.3812220","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805689.3812220","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":[],"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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1640628807","https://openalex.org/W1979290264","https://openalex.org/W2148223342","https://openalex.org/W2786242872","https://openalex.org/W2897042519","https://openalex.org/W2911227954","https://openalex.org/W2942399136","https://openalex.org/W2974071289","https://openalex.org/W3001363766","https://openalex.org/W3010016548","https://openalex.org/W3030608512","https://openalex.org/W3095121444","https://openalex.org/W3129089735","https://openalex.org/W3134395196","https://openalex.org/W3155016818","https://openalex.org/W3157172840","https://openalex.org/W3172101419","https://openalex.org/W3205805977","https://openalex.org/W3212368439","https://openalex.org/W4206775980","https://openalex.org/W4225001143","https://openalex.org/W4225087473","https://openalex.org/W4280569846","https://openalex.org/W4283156811","https://openalex.org/W4283162036","https://openalex.org/W4283165251","https://openalex.org/W4283168787","https://openalex.org/W4306405526","https://openalex.org/W4306694101","https://openalex.org/W4308784155","https://openalex.org/W4367628156","https://openalex.org/W4378966551","https://openalex.org/W4380319304","https://openalex.org/W4380319311","https://openalex.org/W4380319681","https://openalex.org/W4380320146","https://openalex.org/W4389676498","https://openalex.org/W4391334942","https://openalex.org/W4392537149","https://openalex.org/W4399197908","https://openalex.org/W4399251710","https://openalex.org/W4399362990","https://openalex.org/W4399365130","https://openalex.org/W4404173048","https://openalex.org/W4411541888","https://openalex.org/W4411550541","https://openalex.org/W7123458696"],"related_works":[],"abstract_inverted_index":{"Documentation-based":[0],"disclosure":[1,200],"has":[2],"become":[3],"a":[4,60,68,93],"central":[5],"governance":[6,79,202],"strategy":[7],"for":[8],"responsible":[9],"AI,":[10],"particularly":[11],"in":[12,53,80],"public-sector":[13,90],"procurement.":[14],"Tools":[15],"such":[16],"as":[17,163,179],"model":[18],"cards,":[19],"datasheets,":[20],"and":[21,32,51,78,89,109,123,132,135,141,153,188,201],"AI":[22,76],"FactSheets":[23,102,117,160,191],"are":[24,48,103,118],"increasingly":[25],"expected":[26],"to":[27,74,120,161,183],"support":[28,75,197],"accountability,":[29],"risk":[30],"assessment,":[31],"informed":[33],"decision-making":[34],"across":[35],"organizational":[36],"boundaries.":[37],"Yet":[38],"there":[39],"is":[40],"limited":[41],"empirical":[42],"evidence":[43],"about":[44],"how":[45,101],"these":[46],"artifacts":[47,181],"produced,":[49],"interpreted,":[50],"used":[52,182],"practice.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,99],"present":[59],"qualitative":[61],"study":[62],"of":[63,96,151,159],"the":[64,148,157,170],"GovAI":[65],"Coalition":[66],"FactSheet,":[67],"widely":[69],"adopted":[70],"transparency":[71],"document":[72],"designed":[73],"procurement":[77],"government":[81],"contexts.":[82],"Drawing":[83],"on":[84],"semi-structured":[85],"interviews":[86],"with":[87,147],"vendors":[88,140],"practitioners,":[91],"alongside":[92],"systematic":[94],"analysis":[95],"completed":[97],"FactSheets,":[98],"examine":[100],"used,":[104],"what":[105],"information":[106],"they":[107,111],"surface,":[108],"where":[110],"fall":[112],"short.":[113],"We":[114],"find":[115],"that":[116,176,196],"asked":[119],"serve":[121],"multiple":[122],"conflicting":[124],"purposes":[125],"simultaneously:":[126],"showcasing":[127],"vendor":[128],"offerings,":[129],"supporting":[130],"evaluation":[131,165],"due":[133],"diligence,":[134],"facilitating":[136],"early-stage":[137],"dialogue":[138],"between":[139],"agencies.":[142],"These":[143],"competing":[144],"expectations,":[145],"combined":[146],"structural":[149],"constraints":[150],"voluntary":[152],"public":[154],"self-disclosure,":[155],"limit":[156],"ability":[158],"function":[162],"standalone":[164],"or":[166],"risk-assessment":[167],"tools.":[168],"At":[169],"same":[171],"time,":[172],"our":[173],"findings":[174],"suggest":[175],"when":[177],"understood":[178],"relational":[180],"establish":[184],"trust,":[185],"shared":[186],"understanding,":[187],"ongoing":[189],"dialogue,":[190],"can":[192],"help":[193],"create":[194],"conditions":[195],"more":[198],"meaningful":[199],"over":[203],"time.":[204]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-06-30T00:00:00"}