{"id":"https://openalex.org/W4417049777","doi":"https://doi.org/10.1145/3772318.3790910","title":"Navigating Uncertainties: How GenAI Developers Document Their Models on Open-Source Platforms","display_name":"Navigating Uncertainties: How GenAI Developers Document Their Models on Open-Source Platforms","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W4417049777","doi":"https://doi.org/10.1145/3772318.3790910"},"language":"en","primary_location":{"id":"doi:10.1145/3772318.3790910","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3790910","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 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772318.3790910","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006134454","display_name":"Ningjing Tang","orcid":"https://orcid.org/0009-0003-2605-9000"},"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":true,"raw_author_name":"Ningjing Tang","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0009-0003-2605-9000","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016639371","display_name":"Megan Li","orcid":"https://orcid.org/0000-0002-9798-3706"},"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":"Megan Li","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0002-9798-3706","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043269060","display_name":"Amy Winecoff","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amy Winecoff","raw_affiliation_strings":["Center for Democracy & Technology, Washington, District of Columbia, USA"],"raw_orcid":"https://orcid.org/0000-0002-2594-4126","affiliations":[{"raw_affiliation_string":"Center for Democracy & Technology, Washington, District of Columbia, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michael Madaio","orcid":"https://orcid.org/0000-0001-5772-0488"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Madaio","raw_affiliation_strings":["Google Research, New York, New York, USA"],"raw_orcid":"https://orcid.org/0000-0001-5772-0488","affiliations":[{"raw_affiliation_string":"Google Research, New York, New York, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","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":["Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0003-3710-4076","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hong Shen","orcid":"https://orcid.org/0000-0002-5364-3718"},"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":"Hong Shen","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0002-5364-3718","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5006134454"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00185591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"19"},"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":0.5536999702453613,"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":0.5536999702453613,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.07850000262260437,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.04830000177025795,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.9136000275611877},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.6136000156402588},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5360999703407288},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.42879998683929443},{"id":"https://openalex.org/keywords/best-practice","display_name":"Best practice","score":0.39730000495910645},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3905999958515167},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.3197999894618988}],"concepts":[{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.9136000275611877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6525999903678894},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.6136000156402588},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5360999703407288},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.45989999175071716},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4472000002861023},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.43389999866485596},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.41920000314712524},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3905999958515167},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3095000088214874},{"id":"https://openalex.org/C81587897","wikidata":"https://www.wikidata.org/wiki/Q181702","display_name":"Software documentation","level":5,"score":0.30799999833106995},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2856000065803528},{"id":"https://openalex.org/C25688753","wikidata":"https://www.wikidata.org/wiki/Q1413406","display_name":"Technical documentation","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C21338462","wikidata":"https://www.wikidata.org/wiki/Q1662581","display_name":"Information model","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2655999958515167}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3772318.3790910","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3790910","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 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2503.23574","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.23574","pdf_url":"https://arxiv.org/pdf/2503.23574","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:arXiv.org:2503.23574","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2503.23574","pdf_url":"https://arxiv.org/pdf/2503.23574","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"},{"id":"pmh:doi:10.48550/arxiv.2503.23574","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.2503.23574","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.23574","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":"doi:10.1145/3772318.3790910","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3790910","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 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"},{"id":"https://openalex.org/F4320332178","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Model":[0],"documentation":[1,25,47,73,91,117,135],"plays":[2],"a":[3,67],"crucial":[4],"role":[5],"in":[6,45,80,89,96,115],"promoting":[7],"responsible":[8],"AI":[9,16],"(RAI)":[10],"development.":[11],"The":[12],"emergence":[13],"of":[14,70],"Generative":[15],"(GenAI)":[17],"models":[18,33,56],"has":[19],"reshaped":[20],"the":[21],"conditions":[22],"under":[23],"which":[24],"is":[26],"produced,":[27],"particularly":[28],"on":[29,57],"open-source":[30,58],"platforms":[31],"where":[32],"are":[34],"hosted":[35],"and":[36,75,86,98,102,127,137],"shared.":[37],"To":[38],"examine":[39],"how":[40],"these":[41,77,113],"changes":[42],"have":[43,65],"manifested":[44],"developers\u2019":[46,71],"practices,":[48],"we":[49],"interviewed":[50],"17":[51],"GenAI":[52,72,116],"developers":[53],"who":[54,107],"document":[55],"platforms.":[59],"Our":[60],"findings":[61],"illustrate":[62],"that":[63,76,112],"uncertainties":[64,78,88,95,105,114],"become":[66],"defining":[68],"feature":[69],"practices":[74],"unfold":[79],"three":[81],"interrelated":[82],"forms:":[83],"(1)":[84],"normative":[85],"epistemic":[87,126],"determining":[90],"content;":[92],"(2)":[93],"methodological":[94,128],"evaluating":[97],"communicating":[99],"model":[100],"properties;":[101],"(3)":[103],"ecosystemic":[104,144],"about":[106],"should":[108],"document.":[109],"We":[110],"argue":[111],"require":[118],"coordinated":[119],"interventions,":[120],"including":[121],"infrastructural":[122],"support":[123],"to":[124,132,142],"address":[125,143],"uncertainties,":[129],"community-based":[130],"mechanisms":[131],"cultivate":[133],"RAI":[134],"norms,":[136],"collaboration":[138],"across":[139],"supply-chain":[140],"actors":[141],"uncertainties.":[145]},"counts_by_year":[],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}