{"id":"https://openalex.org/W4307853000","doi":"https://doi.org/10.1145/3511265.3550437","title":"The Privacy-Fairness-Accuracy Frontier","display_name":"The Privacy-Fairness-Accuracy Frontier","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4307853000","doi":"https://doi.org/10.1145/3511265.3550437"},"language":"en","primary_location":{"id":"doi:10.1145/3511265.3550437","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511265.3550437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 Symposium on Computer Science and Law","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030629307","display_name":"Aniket Kesari","orcid":"https://orcid.org/0000-0003-1794-0763"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aniket Kesari","raw_affiliation_strings":["New York University, New York City, NY, USA"],"affiliations":[{"raw_affiliation_string":"New York University, New York City, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5030629307"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.2652,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6185557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987999796867371,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987999796867371,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9629999995231628,"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/computer-science","display_name":"Computer science","score":0.790305495262146},{"id":"https://openalex.org/keywords/impossibility","display_name":"Impossibility","score":0.7321800589561462},{"id":"https://openalex.org/keywords/frontier","display_name":"Frontier","score":0.5245592594146729},{"id":"https://openalex.org/keywords/through-the-lens-metering","display_name":"Through-the-lens metering","score":0.4611741304397583},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.44975700974464417},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.43287914991378784},{"id":"https://openalex.org/keywords/doctrine","display_name":"Doctrine","score":0.432269811630249},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4214871823787689},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.24263125658035278},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.15570881962776184},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.1507786214351654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.790305495262146},{"id":"https://openalex.org/C2776261394","wikidata":"https://www.wikidata.org/wiki/Q315562","display_name":"Impossibility","level":2,"score":0.7321800589561462},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.5245592594146729},{"id":"https://openalex.org/C43091099","wikidata":"https://www.wikidata.org/wiki/Q1067788","display_name":"Through-the-lens metering","level":3,"score":0.4611741304397583},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.44975700974464417},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.43287914991378784},{"id":"https://openalex.org/C2776211767","wikidata":"https://www.wikidata.org/wiki/Q117850","display_name":"Doctrine","level":2,"score":0.432269811630249},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4214871823787689},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.24263125658035278},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.15570881962776184},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1507786214351654},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511265.3550437","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511265.3550437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 Symposium on Computer Science and Law","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1525067466","https://openalex.org/W1526516191","https://openalex.org/W1569272930","https://openalex.org/W1819662813","https://openalex.org/W1873763122","https://openalex.org/W2027595342","https://openalex.org/W2167389632","https://openalex.org/W2785487418","https://openalex.org/W2894544573","https://openalex.org/W2914340893","https://openalex.org/W3092054893","https://openalex.org/W3124380982","https://openalex.org/W3211490561","https://openalex.org/W4255574744","https://openalex.org/W4289293239"],"related_works":["https://openalex.org/W2384156839","https://openalex.org/W4321602641","https://openalex.org/W2394251275","https://openalex.org/W4241392912","https://openalex.org/W2347401120","https://openalex.org/W2596801716","https://openalex.org/W2041961361","https://openalex.org/W4387391601","https://openalex.org/W2141614742","https://openalex.org/W2310010941"],"abstract_inverted_index":{"Both":[0,16],"law":[1,109,142],"and":[2,13,24,28,39,120,132,154,168],"computer":[3,54],"science":[4,55],"are":[5],"concerned":[6],"with":[7],"developing":[8],"frameworks":[9,113],"for":[10],"protecting":[11],"privacy":[12,38,69],"ensuring":[14],"fairness.":[15],"fields":[17],"often":[18,57],"consider":[19,115],"these":[20,101],"two":[21],"values":[22,41],"separately":[23],"develop":[25],"legal":[26],"doctrines":[27],"machine":[29],"learning":[30],"metrics":[31],"in":[32,117],"isolation":[33],"from":[34],"one":[35],"another.":[36],"Yet,":[37],"fairness":[40,71],"can":[42,67,124],"conflict,":[43],"especially":[44],"when":[45],"considered":[46],"alongside":[47],"the":[48,84,91,148],"accuracy":[49],"of":[50,150],"an":[51,62],"algorithm.":[52],"The":[53,108],"literature":[56],"treats":[58],"this":[59,137,156],"problem":[60],"as":[61],"\"impossibility":[63],"theorem\"":[64],"-":[65,89],"we":[66],"have":[68],"or":[70],"but":[72],"not":[73],"both.":[74],"Legal":[75],"doctrine":[76],"is":[77,104],"similarly":[78],"constrained":[79],"by":[80,139],"a":[81,87,105,121,141,151,159],"focus":[82],"on":[83,158],"inputs":[85],"to":[86,94,114,146],"decision":[88],"did":[90],"decisionmaker":[92],"intend":[93],"use":[95],"information":[96],"about":[97],"protected":[98],"attributes.":[99],"Despite":[100],"challenges,":[102],"there":[103],"way":[106],"forward.":[107],"has":[110],"integrated":[111],"economic":[112],"tradeoffs":[116],"other":[118],"domains,":[119],"similar":[122],"approach":[123],"clarify":[125],"policymakers'":[126],"thinking":[127],"around":[128],"balancing":[129],"accuracy,":[130],"privacy,":[131],"fairnesss.":[133],"This":[134],"piece":[135],"illustrates":[136],"idea":[138],"using":[140],"&":[143],"economics":[144],"lens":[145],"formalize":[147],"notion":[149],"Privacy-Fairness-Accuracy":[152],"frontier,":[153],"demonstrating":[155],"framework":[157],"consumer":[160],"lending":[161],"dataset.":[162],"An":[163],"open-source":[164],"Python":[165],"software":[166],"library":[167],"GUI":[169],"will":[170],"be":[171],"made":[172],"available.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
