{"id":"https://openalex.org/W4393119066","doi":"https://doi.org/10.1145/3613905.3650999","title":"Recourse for Reclamation: Chatting with Generative Language Models","display_name":"Recourse for Reclamation: Chatting with Generative Language Models","publication_year":2024,"publication_date":"2024-05-02","ids":{"openalex":"https://openalex.org/W4393119066","doi":"https://doi.org/10.1145/3613905.3650999"},"language":"en","primary_location":{"id":"doi:10.1145/3613905.3650999","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613905.3650999","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3650999","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3650999","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017110754","display_name":"Jennifer Chien","orcid":"https://orcid.org/0009-0009-8768-1761"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Chien","raw_affiliation_strings":["Computer Science and Engineering, University of California San Diego, United States"],"raw_orcid":"https://orcid.org/0009-0009-8768-1761","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of California San Diego, United States","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013841168","display_name":"Kevin R. McKee","orcid":"https://orcid.org/0000-0002-4412-1686"},"institutions":[{"id":"https://openalex.org/I4210090411","display_name":"Google DeepMind (United Kingdom)","ror":"https://ror.org/00971b260","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090411","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kevin Mckee","raw_affiliation_strings":["Google DeepMind, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-4412-1686","affiliations":[{"raw_affiliation_string":"Google DeepMind, United Kingdom","institution_ids":["https://openalex.org/I4210113297","https://openalex.org/I4210090411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052060244","display_name":"Jackie Kay","orcid":"https://orcid.org/0000-0001-9593-695X"},"institutions":[{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jackie Kay","raw_affiliation_strings":["Google Deepmind, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-9593-695X","affiliations":[{"raw_affiliation_string":"Google Deepmind, United Kingdom","institution_ids":["https://openalex.org/I4210113297"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048272174","display_name":"William Isaac","orcid":"https://orcid.org/0000-0002-1297-5409"},"institutions":[{"id":"https://openalex.org/I4210090411","display_name":"Google DeepMind (United Kingdom)","ror":"https://ror.org/00971b260","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090411","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"William Isaac","raw_affiliation_strings":["Google DeepMind, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-1297-5409","affiliations":[{"raw_affiliation_string":"Google DeepMind, United Kingdom","institution_ids":["https://openalex.org/I4210113297","https://openalex.org/I4210090411"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6109,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71180479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9864000082015991,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9864000082015991,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9488999843597412,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/land-reclamation","display_name":"Land reclamation","score":0.7584313154220581},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7434385418891907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6612517833709717},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34702372550964355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3375578820705414},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10687139630317688}],"concepts":[{"id":"https://openalex.org/C61661205","wikidata":"https://www.wikidata.org/wiki/Q1130322","display_name":"Land reclamation","level":2,"score":0.7584313154220581},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7434385418891907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6612517833709717},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34702372550964355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3375578820705414},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10687139630317688},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3613905.3650999","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613905.3650999","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3650999","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2403.14467","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.14467","pdf_url":"https://arxiv.org/pdf/2403.14467","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:10.1145/3613905.3650999","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613905.3650999","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613905.3650999","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5899999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317153","display_name":"DeepMind","ror":"https://ror.org/00971b260"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393119066.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W2008251417","https://openalex.org/W2030936754","https://openalex.org/W2143342727","https://openalex.org/W2158672897","https://openalex.org/W2165421558","https://openalex.org/W2333234127","https://openalex.org/W2685368918","https://openalex.org/W2702317258","https://openalex.org/W2765204106","https://openalex.org/W2795274753","https://openalex.org/W2806347998","https://openalex.org/W2888078780","https://openalex.org/W2888421747","https://openalex.org/W2891340972","https://openalex.org/W2899652826","https://openalex.org/W2901668600","https://openalex.org/W2903222856","https://openalex.org/W2913525780","https://openalex.org/W2949678053","https://openalex.org/W2963032716","https://openalex.org/W2976405847","https://openalex.org/W2997400962","https://openalex.org/W3003734448","https://openalex.org/W3008694996","https://openalex.org/W3029662682","https://openalex.org/W3030131444","https://openalex.org/W3088216614","https://openalex.org/W3101038122","https://openalex.org/W3126557831","https://openalex.org/W3133702157","https://openalex.org/W3134481631","https://openalex.org/W3135487809","https://openalex.org/W3160694721","https://openalex.org/W3184144760","https://openalex.org/W3185376810","https://openalex.org/W3191136298","https://openalex.org/W3191598918","https://openalex.org/W3196190653","https://openalex.org/W4200593473","https://openalex.org/W4226290207","https://openalex.org/W4281721666","https://openalex.org/W4287889978","https://openalex.org/W4294084120","https://openalex.org/W4296405185","https://openalex.org/W4298235707","https://openalex.org/W4319300755","https://openalex.org/W4323309541","https://openalex.org/W4377372266","https://openalex.org/W4387821331","https://openalex.org/W4388007941"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2351978338","https://openalex.org/W2369329102","https://openalex.org/W2355403593","https://openalex.org/W2374873665","https://openalex.org/W2073128866","https://openalex.org/W2388001001","https://openalex.org/W2028004539","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Researchers":[0],"and":[1,22,38,129],"developers":[2],"increasingly":[3],"rely":[4],"on":[5],"toxicity":[6,26,77,123],"scoring":[7,27],"to":[8,57,67,85,110,135],"automate":[9],"generative":[10,58,145],"language":[11,40,59,130,146],"model":[12,114,125],"outputs,":[13],"in":[14,107],"settings":[15],"such":[16],"as":[17],"customer":[18],"service,":[19],"information":[20,31],"retrieval,":[21],"content":[23],"generation.":[24],"However,":[25],"may":[28],"render":[29],"pertinent":[30],"inaccessible,":[32],"rigidify":[33],"or":[34],"\u201cvalue-lock\u201d":[35],"cultural":[36],"norms,":[37],"prevent":[39],"reclamation":[41,131],"processes,":[42],"particularly":[43],"for":[44,76],"marginalized":[45],"people.":[46],"In":[47],"this":[48],"work,":[49],"we":[50,61],"extend":[51],"the":[52,88,98,120,136],"concept":[53],"of":[54,100,113,122],"algorithmic":[55],"recourse":[56,103],"models:":[60],"provide":[62],"users":[63],"a":[64],"novel":[65],"mechanism":[66],"achieve":[68],"their":[69],"desired":[70],"prediction":[71],"by":[72],"dynamically":[73],"setting":[74],"thresholds":[75],"filtering.":[78],"Users":[79],"thereby":[80],"exercise":[81],"increased":[82],"agency":[83],"relative":[84],"interactions":[86],"with":[87,133,144],"baseline":[89],"system.":[90],"A":[91],"pilot":[92],"study":[93],"(n":[94],"=":[95],"30)":[96],"supports":[97],"potential":[99],"our":[101],"proposed":[102],"mechanism,":[104],"indicating":[105],"improvements":[106],"usability":[108],"compared":[109],"fixed-threshold":[111],"toxicity-filtering":[112],"outputs.":[115],"Future":[116],"work":[117],"should":[118],"explore":[119],"intersection":[121],"scoring,":[124],"controllability,":[126],"user":[127],"agency,":[128],"processes\u2014particularly":[132],"regard":[134],"bias":[137],"that":[138],"many":[139],"communities":[140],"encounter":[141],"when":[142],"interacting":[143],"models.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}