{"id":"https://openalex.org/W7134049344","doi":"https://doi.org/10.48550/arxiv.2603.05136","title":"Representation Fidelity:Auditing Algorithmic Decisions About Humans Using Self-Descriptions","display_name":"Representation Fidelity:Auditing Algorithmic Decisions About Humans Using Self-Descriptions","publication_year":2026,"publication_date":"2026-03-05","ids":{"openalex":"https://openalex.org/W7134049344","doi":"https://doi.org/10.48550/arxiv.2603.05136"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.05136","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090560251","display_name":"Theresa Elstner","orcid":"https://orcid.org/0000-0002-6359-0752"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Elstner, Theresa","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128256909","display_name":"Martin Potthast","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Potthast, Martin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090560251"],"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":null,"last_page":null},"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":0.5575000047683716,"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":0.5575000047683716,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.11729999631643295,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.034299999475479126,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7620000243186951},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.6158000230789185},{"id":"https://openalex.org/keywords/operationalization","display_name":"Operationalization","score":0.5461999773979187},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5268999934196472},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5012000203132629},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4065999984741211},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3573000133037567},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.3521000146865845}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7620000243186951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6241999864578247},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6158000230789185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5943999886512756},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.5461999773979187},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5268999934196472},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5012000203132629},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4530999958515167},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4065999984741211},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3720000088214874},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3573000133037567},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.3521000146865845},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.34040001034736633},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C75795011","wikidata":"https://www.wikidata.org/wiki/Q917904","display_name":"Typology","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C84750791","wikidata":"https://www.wikidata.org/wiki/Q3427408","display_name":"Dual representation","level":3,"score":0.2721000015735626},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C188540687","wikidata":"https://www.wikidata.org/wiki/Q63105","display_name":"Topicalization","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2551000118255615}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.05136","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Article"},{"id":"doi:10.48550/arxiv.2603.05136","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.05136","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.05136","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6170791387557983}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,25,62,96,121,133],"new":[4],"dimension":[5],"for":[6,115],"validating":[7],"algorithmic":[8],"decisions":[9,23],"about":[10,24],"humans":[11],"by":[12,37,65],"measuring":[13,38],"the":[14,39,45,56,66,70,76,81,104,112,150],"fidelity":[15,118],"of":[16,44,69,83,99,106,123,132,136,147,158,164],"their":[17],"representations.":[18,165],"Representation":[19],"Fidelity":[20],"measures":[21],"if":[22],"person":[26],"rest":[27],"on":[28,54,120],"reasonable":[29],"grounds.":[30],"We":[31,79,109],"propose":[32],"to":[33,74],"operationalize":[34],"this":[35],"notion":[36],"distance":[40],"between":[41,85,161],"two":[42],"representations":[43,146],"same":[46],"person:":[47],"(1)":[48],"an":[49],"externally":[50],"prescribed":[51],"input":[52,77],"representation":[53,100,107,117,159],"which":[55],"decision":[57],"is":[58],"based,":[59],"and":[60,94],"(2)":[61],"self-description":[63],"provided":[64],"human":[67],"subject":[68],"decision,":[71],"used":[72],"solely":[73],"validate":[75],"representation.":[78],"examine":[80],"nature":[82],"discrepancies":[84,90],"these":[86],"representations,":[87],"how":[88],"such":[89],"can":[91],"be":[92],"quantified,":[93],"derive":[95],"generic":[97],"typology":[98],"mismatches":[101,160],"that":[102],"determine":[103],"degree":[105],"fidelity.":[108],"further":[110],"present":[111],"first":[113],"benchmark":[114],"evaluating":[116],"based":[119],"dataset":[122],"loan-granting":[124],"decisions.":[125],"Our":[126],"Loan-Granting":[127],"Self-Representations":[128],"Corpus":[129],"2025":[130],"consists":[131],"large":[134],"corpus":[135],"30":[137],"000":[138],"synthetic":[139],"natural":[140],"language":[141],"self-descriptions":[142],"derived":[143],"from":[144],"corresponding":[145],"applicants":[148],"in":[149],"German":[151],"Credit":[152],"Dataset,":[153],"along":[154],"with":[155],"expert":[156],"annotations":[157],"each":[162],"pair":[163]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-03-07T00:00:00"}