{"id":"https://openalex.org/W3109041932","doi":"https://doi.org/10.1145/3440959.3440966","title":"Ethical algorithm design","display_name":"Ethical algorithm design","publication_year":2020,"publication_date":"2020-12-02","ids":{"openalex":"https://openalex.org/W3109041932","doi":"https://doi.org/10.1145/3440959.3440966","mag":"3109041932"},"language":"en","primary_location":{"id":"doi:10.1145/3440959.3440966","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3440959.3440966","pdf_url":null,"source":{"id":"https://openalex.org/S4210233839","display_name":"ACM SIGecom Exchanges","issn_l":"1551-9031","issn":["1551-9031"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGecom Exchanges","raw_type":"journal-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/A5029730907","display_name":"Michael Kearns","orcid":"https://orcid.org/0000-0001-7569-0147"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Kearns","raw_affiliation_strings":["University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057693522","display_name":"Aaron Roth","orcid":"https://orcid.org/0000-0002-0586-0515"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Roth","raw_affiliation_strings":["University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36788626"],"apc_list":null,"apc_paid":null,"fwci":3.566,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93639291,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"1","first_page":"31","last_page":"36"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9934999942779541,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9919999837875366,"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/computer-science","display_name":"Computer science","score":0.7490520477294922},{"id":"https://openalex.org/keywords/sociotechnical-system","display_name":"Sociotechnical system","score":0.7184540033340454},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6297605633735657},{"id":"https://openalex.org/keywords/ethical-issues","display_name":"Ethical issues","score":0.4381101429462433},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34835848212242126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28484636545181274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22807642817497253},{"id":"https://openalex.org/keywords/engineering-ethics","display_name":"Engineering ethics","score":0.19699102640151978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490520477294922},{"id":"https://openalex.org/C127627568","wikidata":"https://www.wikidata.org/wiki/Q1639361","display_name":"Sociotechnical system","level":2,"score":0.7184540033340454},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6297605633735657},{"id":"https://openalex.org/C2986663376","wikidata":"https://www.wikidata.org/wiki/Q9465","display_name":"Ethical issues","level":2,"score":0.4381101429462433},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34835848212242126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28484636545181274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22807642817497253},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.19699102640151978},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3440959.3440966","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3440959.3440966","pdf_url":null,"source":{"id":"https://openalex.org/S4210233839","display_name":"ACM SIGecom Exchanges","issn_l":"1551-9031","issn":["1551-9031"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGecom Exchanges","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1042953836","https://openalex.org/W2100960835","https://openalex.org/W2396394641","https://openalex.org/W2599025709","https://openalex.org/W2626769593","https://openalex.org/W2773444500","https://openalex.org/W2788842311","https://openalex.org/W2889169527","https://openalex.org/W2896833840","https://openalex.org/W2964031043","https://openalex.org/W2965749257","https://openalex.org/W2981869278","https://openalex.org/W2996844929","https://openalex.org/W3006822506","https://openalex.org/W3033733989","https://openalex.org/W3040880402","https://openalex.org/W3102162267","https://openalex.org/W4312663109"],"related_works":["https://openalex.org/W1990534671","https://openalex.org/W57324735","https://openalex.org/W3120754748","https://openalex.org/W2293119372","https://openalex.org/W2293453852","https://openalex.org/W4383650771","https://openalex.org/W2917223971","https://openalex.org/W1542218243","https://openalex.org/W2954386402","https://openalex.org/W3109041932"],"abstract_inverted_index":{"In":[0],"this":[1,31,121],"letter,":[2],"we":[3,9,42,112,140],"summarize":[4],"the":[5,36,80,115,144],"research":[6,32,74],"agenda":[7,33],"that":[8,41],"survey":[10],"in":[11,79,95,120,149],"our":[12,44,65],"recent":[13],"book":[14],"The":[15],"Ethical":[16],"Algorithm":[17],",":[18],"which":[19],"is":[20,76,89],"intended":[21],"for":[22,104],"a":[23,28,92],"general,":[24],"nontechnical":[25],"audience.":[26],"At":[27],"high":[29],"level,":[30],"proposes":[34],"formalizing":[35],"ethical":[37],"and":[38,53,56,101,132,142],"social":[39,61],"values":[40,49,62],"want":[43],"algorithms":[45,66,126],"to":[46,58,91,123],"maintain":[47],"---":[48,55],"including":[50],"privacy,":[51,83],"fairness,":[52,100],"explainability":[54],"then":[57],"embed":[59],"these":[60],"directly":[63],"into":[64],"as":[67,127,139],"part":[68],"of":[69,82,146],"their":[70],"design.":[71],"This":[72],"broad":[73],"area":[75,81,122],"most":[77],"mature":[78],"specifically":[84],"differential":[85],"privacy":[86],".":[87],"It":[88],"off":[90],"good":[93],"start":[94],"emerging":[96],"areas":[97],"like":[98,108],"algorithmic":[99,147],"seems":[102],"promising":[103],"more":[105],"nebulous":[106],"goals":[107],"explainability,":[109],"if":[110],"only":[111],"can":[113],"find":[114],"right":[116],"definitions.":[117],"Most":[118],"work":[119],"date":[124],"analyzes":[125],"isolated":[128],"components,":[129],"but":[130],"game-theoretic":[131],"economic":[133],"analysis":[134],"will":[135],"become":[136],"increasingly":[137],"important":[138],"try":[141],"study":[143],"effects":[145],"interventions":[148],"larger":[150],"sociotechnical":[151],"systems.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}