{"id":"https://openalex.org/W4312450626","doi":"https://doi.org/10.1145/3524491.3527306","title":"Fair decision making via automated repair of decision trees","display_name":"Fair decision making via automated repair of decision trees","publication_year":2022,"publication_date":"2022-05-19","ids":{"openalex":"https://openalex.org/W4312450626","doi":"https://doi.org/10.1145/3524491.3527306"},"language":"en","primary_location":{"id":"doi:10.1145/3524491.3527306","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3524491.3527306","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3524491.3527306","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 2nd International Workshop on Equitable Data and Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3524491.3527306","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100422956","display_name":"Jiang Zhang","orcid":"https://orcid.org/0000-0003-0435-655X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Jiang Zhang","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064061802","display_name":"Ivan Beschastnikh","orcid":"https://orcid.org/0000-0003-1676-8834"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ivan Beschastnikh","raw_affiliation_strings":["University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011184280","display_name":"Sergey Mechtaev","orcid":"https://orcid.org/0000-0001-6088-4993"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sergey Mechtaev","raw_affiliation_strings":["University College London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University College London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060115298","display_name":"Abhik Roychoudhury","orcid":"https://orcid.org/0000-0002-7127-1137"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Abhik Roychoudhury","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100422956"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.5555,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7307486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9986000061035156,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9986000061035156,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9979000091552734,"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":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.7842260599136353},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7139034271240234},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.47349366545677185},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4534667730331421},{"id":"https://openalex.org/keywords/scratch","display_name":"Scratch","score":0.44280967116355896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40695035457611084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37813520431518555},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17826208472251892},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12359040975570679}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7842260599136353},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7139034271240234},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.47349366545677185},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4534667730331421},{"id":"https://openalex.org/C2781235140","wikidata":"https://www.wikidata.org/wiki/Q275131","display_name":"Scratch","level":2,"score":0.44280967116355896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40695035457611084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37813520431518555},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17826208472251892},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12359040975570679}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3524491.3527306","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3524491.3527306","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3524491.3527306","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 2nd International Workshop on Equitable Data and Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10157280","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10157280/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  2022 IEEE/ACM International Workshop on Equitable Data and Technology (FairWare 2022).  (pp. pp. 9-16).  IEEE (Institute of Electrical and Electronics Engineers) (2022)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"doi:10.1145/3524491.3527306","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3524491.3527306","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3524491.3527306","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 2nd International Workshop on Equitable Data and Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G5936969925","display_name":null,"funder_award_id":"Campus for Research Excellence and Technological Enterprise (CREATE)","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"}],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312450626.pdf","grobid_xml":"https://content.openalex.org/works/W4312450626.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2150997454","https://openalex.org/W2730550703","https://openalex.org/W2735457297","https://openalex.org/W2963116854","https://openalex.org/W2963917042","https://openalex.org/W2997591727","https://openalex.org/W3026864867","https://openalex.org/W4289258088","https://openalex.org/W4327652279","https://openalex.org/W4398606776"],"related_works":["https://openalex.org/W2475116013","https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W4366979180","https://openalex.org/W4380629648","https://openalex.org/W2964523615","https://openalex.org/W2982850857","https://openalex.org/W4385640509","https://openalex.org/W3214885503","https://openalex.org/W4399146975"],"abstract_inverted_index":{"Data-driven":[0],"decision-making":[1],"allows":[2],"more":[3],"resource":[4],"allocation":[5],"tasks":[6],"to":[7],"be":[8,25],"done":[9],"by":[10],"programs.":[11],"Unfortunately,":[12],"real-life":[13],"training":[14],"datasets":[15],"may":[16],"capture":[17],"human":[18],"biases,":[19],"and":[20],"the":[21,64],"learned":[22],"models":[23],"can":[24],"unfair.":[26],"To":[27],"resolve":[28],"this,":[29],"one":[30],"could":[31],"either":[32],"train":[33],"a":[34],"new,":[35],"fair":[36],"model":[37,68],"from":[38],"scratch":[39],"or":[40,60],"repair":[41,69],"an":[42],"existing":[43],"unfair":[44],"model.":[45],"The":[46],"former":[47],"approach":[48],"is":[49,56,71],"liable":[50],"for":[51,58],"unbounded":[52],"semantic":[53],"difference,":[54],"hence":[55],"unsuitable":[57],"social":[59],"legislative":[61],"decisions.":[62],"Meanwhile,":[63],"scalability":[65],"of":[66],"state-of-the-art":[67],"techniques":[70],"unsatisfactory.":[72]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
