{"id":"https://openalex.org/W4380319022","doi":"https://doi.org/10.1145/3593013.3594030","title":"Against Predictive Optimization","display_name":"Against Predictive Optimization","publication_year":2023,"publication_date":"2023-06-12","ids":{"openalex":"https://openalex.org/W4380319022","doi":"https://doi.org/10.1145/3593013.3594030"},"language":"en","primary_location":{"id":"doi:10.1145/3593013.3594030","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3593013.3594030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM Conference on Fairness, Accountability, and Transparency","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/A5002575847","display_name":"Angelina Wang","orcid":"https://orcid.org/0000-0001-9140-3523"},"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":true,"raw_author_name":"Angelina Wang","raw_affiliation_strings":["Computer Science, Princeton University, USA"],"raw_orcid":"https://orcid.org/0000-0001-9140-3523","affiliations":[{"raw_affiliation_string":"Computer Science, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063345981","display_name":"Sayash Kapoor","orcid":"https://orcid.org/0000-0001-5695-280X"},"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":"Sayash Kapoor","raw_affiliation_strings":["Computer Science, Princeton University, USA"],"raw_orcid":"https://orcid.org/0000-0001-5695-280X","affiliations":[{"raw_affiliation_string":"Computer Science, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","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/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Solon Barocas","raw_affiliation_strings":["Microsoft Research, Cornell University, USA"],"raw_orcid":"https://orcid.org/0000-0003-4577-466X","affiliations":[{"raw_affiliation_string":"Microsoft Research, Cornell University, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058102069","display_name":"Arvind Narayanan","orcid":"https://orcid.org/0000-0001-7176-4479"},"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":"Arvind Narayanan","raw_affiliation_strings":["Computer Science, Princeton University, USA"],"raw_orcid":"https://orcid.org/0000-0001-7176-4479","affiliations":[{"raw_affiliation_string":"Computer Science, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002575847"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":3.0674,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92997392,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"626","last_page":"626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9304999709129333,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9304999709129333,"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":0.907800018787384,"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":0.7530405521392822},{"id":"https://openalex.org/keywords/rubric","display_name":"Rubric","score":0.731659471988678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6507880687713623},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5840598940849304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5637450218200684},{"id":"https://openalex.org/keywords/normative","display_name":"Normative","score":0.5307835340499878},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5166559815406799},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44564709067344666},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.42471253871917725},{"id":"https://openalex.org/keywords/contest","display_name":"CONTEST","score":0.4233183264732361},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.41395437717437744},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.1478799283504486},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1297348439693451},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1036422848701477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530405521392822},{"id":"https://openalex.org/C111640148","wikidata":"https://www.wikidata.org/wiki/Q847349","display_name":"Rubric","level":2,"score":0.731659471988678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6507880687713623},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5840598940849304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5637450218200684},{"id":"https://openalex.org/C44725695","wikidata":"https://www.wikidata.org/wiki/Q288156","display_name":"Normative","level":2,"score":0.5307835340499878},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5166559815406799},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44564709067344666},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.42471253871917725},{"id":"https://openalex.org/C2777582232","wikidata":"https://www.wikidata.org/wiki/Q5013414","display_name":"CONTEST","level":2,"score":0.4233183264732361},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.41395437717437744},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.1478799283504486},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1297348439693451},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1036422848701477},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3593013.3594030","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3593013.3594030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM Conference on Fairness, Accountability, and Transparency","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":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1987813225","https://openalex.org/W4390610055","https://openalex.org/W4379053243","https://openalex.org/W2735088306","https://openalex.org/W4286740636","https://openalex.org/W3021020626","https://openalex.org/W2946214509","https://openalex.org/W2955201676","https://openalex.org/W2606108738","https://openalex.org/W2153005530"],"abstract_inverted_index":{"We":[0,95,163],"formalize":[1],"predictive":[2,48,93,176,209],"optimization,":[3],"a":[4,51,107,195],"category":[5],"of":[6,18,56,92,109,122,127,143,168,175,186,197],"decision-making":[7],"algorithms":[8,28],"that":[9,47,59,114,137,165,200],"use":[10,32],"machine":[11],"learning":[12],"(ML)":[13],"to":[14,34,62,141,204],"predict":[15,35],"future":[16],"outcomes":[17],"interest":[19],"about":[20],"\\":[21],"individuals}.":[22],"For":[23],"example,":[24],"pre-trial":[25],"risk":[26],"prediction":[27],"such":[29],"as":[30,101],"COMPAS":[31],"ML":[33],"whether":[36,157],"an":[37],"individual":[38],"will":[39],"re-offend":[40],"in":[41],"the":[42,116,120,144,152,166,173,184,187],"future.":[43],"Our":[44,133],"thesis":[45],"is":[46,136,178],"optimization":[49,177,210],"raises":[50],"distinctive":[52],"and":[53,76,84,87,111,131,154],"serious":[54],"set":[55,108],"normative":[57,110],"concerns":[58],"cause":[60],"it":[61],"fail":[63],"on":[64,190],"its":[65],"own":[66],"terms.":[67],"To":[68],"test":[69],"this,":[70],"we":[71,105,193],"review":[72],"387":[73],"reports,":[74],"articles,":[75],"web":[77],"pages":[78],"from":[79],"academia,":[80],"industry,":[81],"non-profits,":[82],"governments,":[83],"modeling":[85],"contests,":[86],"find":[88],"many":[89],"real-world":[90],"examples":[91,100],"optimization.":[94],"select":[96],"eight":[97],"particularly":[98],"consequential":[99],"case":[102],"studies.":[103],"Simultaneously,":[104],"develop":[106],"technical":[112],"critiques":[113,139],"challenge":[115,156],"claims":[117,126],"made":[118],"by":[119,150],"developers":[121,185],"these":[123,138,158],"applications\u2014in":[124],"particular,":[125],"increased":[128],"accuracy,":[129],"efficiency,":[130],"fairness.":[132],"key":[134],"finding":[135],"apply":[140],"each":[142],"applications,":[145],"are":[146],"not":[147,179],"easily":[148],"evaded":[149],"redesigning":[151],"systems,":[153],"thus":[155],"applications":[159],"should":[160,181],"be":[161,202],"deployed.":[162],"argue":[164],"burden":[167],"evidence":[169],"for":[170],"justifying":[171],"why":[172],"deployment":[174],"harmful":[180],"rest":[182],"with":[183],"tools.":[188],"Based":[189],"our":[191],"analysis,":[192],"provide":[194],"rubric":[196],"critical":[198],"questions":[199],"can":[201],"used":[203],"deliberate":[205],"or":[206],"contest":[207],"specific":[208],"applications.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}