{"id":"https://openalex.org/W7154152607","doi":"https://doi.org/10.1145/3772318.3791649","title":"A Framework to Characterize Reporting on Generative AI Use","display_name":"A Framework to Characterize Reporting on Generative AI Use","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154152607","doi":"https://doi.org/10.1145/3772318.3791649"},"language":null,"primary_location":{"id":"doi:10.1145/3772318.3791649","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3791649","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":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772318.3791649","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088069213","display_name":"Agathe Balayn","orcid":"https://orcid.org/0000-0003-2725-5305"},"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":"Agathe Balayn","raw_affiliation_strings":["Microsoft Research, New York City, New York, USA"],"raw_orcid":"https://orcid.org/0000-0003-2725-5305","affiliations":[{"raw_affiliation_string":"Microsoft Research, New York City, New York, USA","institution_ids":["https://openalex.org/I4401726785","https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070972086","display_name":"Varun Nagaraj Rao","orcid":"https://orcid.org/0000-0002-4692-2196"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varun Nagaraj Rao","raw_affiliation_strings":["Computer Science, Princeton University, Princeton, New Jersey, USA"],"raw_orcid":"https://orcid.org/0000-0002-4692-2196","affiliations":[{"raw_affiliation_string":"Computer Science, Princeton University, Princeton, New Jersey, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001257783","display_name":"Su Lin Blodgett","orcid":"https://orcid.org/0000-0002-9861-3483"},"institutions":[{"id":"https://openalex.org/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]},{"id":"https://openalex.org/I4402554038","display_name":"Microsoft Research Montr\u00e9al (Canada)","ror":"https://ror.org/05xdft911","country_code":null,"type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4402554038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Su Lin Blodgett","raw_affiliation_strings":["Microsoft Research, Montreal, Quebec, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9861-3483","affiliations":[{"raw_affiliation_string":"Microsoft Research, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I4210153468","https://openalex.org/I4402554038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101545719","display_name":"Aylin Caliskan","orcid":"https://orcid.org/0000-0001-7154-8629"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aylin Caliskan","raw_affiliation_strings":["University of Washington, Seattle, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0001-7154-8629","affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074825066","display_name":"Solon Barocas","orcid":"https://orcid.org/0000-0003-4577-466X"},"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":"Solon Barocas","raw_affiliation_strings":["Microsoft Research, New York, New York, USA"],"raw_orcid":"https://orcid.org/0000-0003-4577-466X","affiliations":[{"raw_affiliation_string":"Microsoft Research, New York, New York, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4401726785"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54870383,"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":"44"},"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":0.5795000195503235,"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":0.5795000195503235,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.10599999874830246,"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"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.09870000183582306,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.8992000222206116},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.41260001063346863},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.35910001397132874},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.34369999170303345},{"id":"https://openalex.org/keywords/systematic-review","display_name":"Systematic review","score":0.3237999975681305},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.32280001044273376}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.8992000222206116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6421999931335449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510200023651123},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4503999948501587},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.41260001063346863},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.35010001063346863},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.3237999975681305},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C184408114","wikidata":"https://www.wikidata.org/wiki/Q1502022","display_name":"Generative Design","level":3,"score":0.3070000112056732},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28529998660087585},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.28189998865127563},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3772318.3791649","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3791649","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"}],"best_oa_location":{"id":"doi:10.1145/3772318.3791649","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3791649","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5601683259010315}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W48379747","https://openalex.org/W1480033610","https://openalex.org/W1515402129","https://openalex.org/W1535149604","https://openalex.org/W1572765343","https://openalex.org/W1580947994","https://openalex.org/W1791587663","https://openalex.org/W1889560806","https://openalex.org/W1976439060","https://openalex.org/W2017005267","https://openalex.org/W2020639717","https://openalex.org/W2062299969","https://openalex.org/W2100379340","https://openalex.org/W2117834723","https://openalex.org/W2761607258","https://openalex.org/W2783224032","https://openalex.org/W2897042519","https://openalex.org/W2900271353","https://openalex.org/W2914308154","https://openalex.org/W2964523010","https://openalex.org/W3096967221","https://openalex.org/W3125976894","https://openalex.org/W3212368439","https://openalex.org/W4200192788","https://openalex.org/W4249194216","https://openalex.org/W4293036391","https://openalex.org/W4386249234","https://openalex.org/W4389524447","https://openalex.org/W4390547220","https://openalex.org/W4391136507","https://openalex.org/W4392297945","https://openalex.org/W4392737371","https://openalex.org/W4392783116","https://openalex.org/W4396833480","https://openalex.org/W4396921284","https://openalex.org/W4400530395","https://openalex.org/W4402115616","https://openalex.org/W4403316939","https://openalex.org/W4405896613","https://openalex.org/W4406548200","https://openalex.org/W4407142724","https://openalex.org/W4409338548","https://openalex.org/W4410125989","https://openalex.org/W4411278529","https://openalex.org/W4412794959","https://openalex.org/W4412888400","https://openalex.org/W4413147844","https://openalex.org/W4414192430","https://openalex.org/W4416036163","https://openalex.org/W4416294760","https://openalex.org/W7125508931"],"related_works":[],"abstract_inverted_index":{"Unlike":[0],"with":[1],"traditional":[2],"predictive":[3],"AI":[4,8,56,110,156],"models,":[5],"today\u2019s":[6],"generative":[7,55,72,109,155],"models":[9],"are":[10],"increasingly":[11],"designed":[12],"to":[13,17,28,60,97,126],"be":[14,45,113],"general-purpose,":[15],"able":[16],"perform":[18],"a":[19,30,48,99,127],"wide":[20],"range":[21],"of":[22,35,64,71,106,129],"tasks.":[23],"This":[24,74],"makes":[25],"it":[26],"challenging":[27],"develop":[29],"reliable":[31],"and":[32,43,51,54,83,115,117,139,145],"useful":[33],"understanding":[34],"the":[36,62,69,124,148],"ways":[37],"in":[38,86,141],"which":[39],"this":[40,90,150],"technology":[41],"is":[42],"could":[44,112],"used.":[46],"As":[47],"result,":[49],"academic":[50],"policy":[52],"researchers":[53],"providers":[57],"have":[58],"started":[59],"publish":[61],"results":[63],"their":[65],"own":[66],"investigations":[67],"about":[68,108,154],"use":[70,111],"AI.":[73],"information":[75,107],"is,":[76],"however,":[77],"fragmented,":[78],"potentially":[79],"incomplete,":[80],"sometimes":[81],"ambiguous,":[82],"often":[84],"lacking":[85],"methodological":[87],"specificity.":[88],"In":[89],"paper,":[91],"we":[92],"conducted":[93],"an":[94],"integrative":[95],"review":[96],"build":[98],"multi-dimensional":[100],"framework":[101,125],"that":[102],"specifies":[103],"what":[104],"kind":[105],"reported":[114],"how,":[116],"illustrated":[118],"its":[119],"analytical":[120],"utility":[121],"by":[122],"applying":[123],"collection":[128],"over":[130],"110":[131],"industry":[132,143],"documents.":[133],"Our":[134],"analysis":[135],"reveals":[136],"systematic":[137],"patterns":[138],"omissions":[140],"current":[142],"reporting":[144,151],"reflects":[146],"on":[147],"narratives":[149],"collectively":[152],"advance":[153],"use.":[157]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-14T00:00:00"}
