Designing equitable algorithms
Predictive algorithms are now commonly used to distribute society's resources and sanctions. But these algorithms can entrench and exacerbate inequities. To guard against this possibility, many have suggested that algorithms be subject to formal fairness constraints. Here we argue, however, tha...
Uloženo v:
| Vydáno v: | Nature Computational Science Ročník 3; číslo 7; s. 601 - 610 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
United States
Nature Publishing Group
01.07.2023
|
| Témata: | |
| ISSN: | 2662-8457, 2662-8457 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Predictive algorithms are now commonly used to distribute society's resources and sanctions. But these algorithms can entrench and exacerbate inequities. To guard against this possibility, many have suggested that algorithms be subject to formal fairness constraints. Here we argue, however, that popular constraints-while intuitively appealing-often worsen outcomes for individuals in marginalized groups, and can even leave all groups worse off. We outline a more holistic path forward for improving the equity of algorithmically guided decisions. |
|---|---|
| AbstractList | Predictive algorithms are now commonly used to distribute society's resources and sanctions. But these algorithms can entrench and exacerbate inequities. To guard against this possibility, many have suggested that algorithms be subject to formal fairness constraints. Here we argue, however, that popular constraints-while intuitively appealing-often worsen outcomes for individuals in marginalized groups, and can even leave all groups worse off. We outline a more holistic path forward for improving the equity of algorithmically guided decisions. Predictive algorithms are now commonly used to distribute society’s resources and sanctions. But these algorithms can entrench and exacerbate inequities. To guard against this possibility, many have suggested that algorithms be subject to formal fairness constraints. Here we argue, however, that popular constraints—while intuitively appealing—often worsen outcomes for individuals in marginalized groups, and can even leave all groups worse off. We outline a more holistic path forward for improving the equity of algorithmically guided decisions.While the adherence to fairness constraints has become common practice in the design of algorithms across many contexts, a more holistic approach should be taken to avoid inflicting additional burdens on individuals in all groups, including those in marginalized communities. Predictive algorithms are now commonly used to distribute society's resources and sanctions. But these algorithms can entrench and exacerbate inequities. To guard against this possibility, many have suggested that algorithms be subject to formal fairness constraints. Here we argue, however, that popular constraints-while intuitively appealing-often worsen outcomes for individuals in marginalized groups, and can even leave all groups worse off. We outline a more holistic path forward for improving the equity of algorithmically guided decisions.Predictive algorithms are now commonly used to distribute society's resources and sanctions. But these algorithms can entrench and exacerbate inequities. To guard against this possibility, many have suggested that algorithms be subject to formal fairness constraints. Here we argue, however, that popular constraints-while intuitively appealing-often worsen outcomes for individuals in marginalized groups, and can even leave all groups worse off. We outline a more holistic path forward for improving the equity of algorithmically guided decisions. |
| Author | Chohlas-Wood, Alex Coots, Madison Nyarko, Julian Goel, Sharad |
| Author_xml | – sequence: 1 givenname: Alex surname: Chohlas-Wood fullname: Chohlas-Wood, Alex – sequence: 2 givenname: Madison surname: Coots fullname: Coots, Madison – sequence: 3 givenname: Sharad orcidid: 0000-0002-6103-9318 surname: Goel fullname: Goel, Sharad – sequence: 4 givenname: Julian surname: Nyarko fullname: Nyarko, Julian |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38177749$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kE1PAyEURYmpsbX2D7homrhxMwo8GGBpWr-SJm50TRiGVpr5aGFm4b8XbTWmC1ePF84l3HOOBk3bOIQuCb4hGORtZMClzDCFDGMmecZO0IjmOc0k42Lw5zxEkxg3GGPKCeAcztAQJBFCMDVC04WLft34Zj1zu953pqjczFTrNvjuvY4X6HRlqugmhzlGbw_3r_OnbPny-Dy_W2YWgHQZYLBWWC6os65YKWywslxBXgorC-cMVcCphcLkpTXKpYURK4oiXdpSERij6_2729Duehc7XftoXVWZxrV91FQRIhmlkib06gjdtH1o0u80UJqnnkzwRE0PVF_UrtTb4GsTPvRP8wTQPWBDG2Nwq1-EYP1lWO8N62RYfxvWLIXkUcgmZZ1vmy4YX_0X_QS-k31- |
| CitedBy_id | crossref_primary_10_1007_s40615_025_02296_x crossref_primary_10_1016_j_csbj_2023_12_006 crossref_primary_10_1007_s11569_024_00454_9 crossref_primary_10_7326_M23_3166 crossref_primary_10_1001_jamanetworkopen_2025_12947 crossref_primary_10_1007_s00521_025_11520_y crossref_primary_10_1016_j_ynexs_2025_100069 crossref_primary_10_1038_s41746_024_01245_y crossref_primary_10_1146_annurev_publhealth_071823_112058 crossref_primary_10_1287_mnsc_2022_00345 crossref_primary_10_1073_pnas_2306017120 crossref_primary_10_1038_s43588_024_00676_7 crossref_primary_10_1093_jamia_ocae047 crossref_primary_10_1177_18724981241301281 |
| Cites_doi | 10.1177/0049124118782533 10.1126/science.abb6591 10.1002/hec.4569 10.3818/JRP.4.1.2002.131 10.3389/fdata.2022.892837 10.7326/M18-3297 10.1016/S0140-6736(20)32076-6 10.1080/2330443X.2021.2024778 10.1287/inte.2019.0985 10.1145/3313831.3376638 10.1073/pnas.1915768117 10.1080/10511482.1993.9521127 10.1145/3461702.3462587 10.1093/jrsssa/qnad010 10.1086/695285 10.1214/17-AOAS1058 10.1007/s11524-016-0054-9 10.1146/annurev-polisci-032015-010015 10.1145/3442188.3445919 10.1007/s11524-021-00515-4 10.1016/S2589-7500(20)30065-0 10.1145/3097983.3098095 10.1162/REST_a_00110 10.1111/1745-9133.12481 10.1146/annurev-statistics-042720-125902 10.1089/big.2016.0047 10.1145/3376898 10.1609/icwsm.v17i1.22163 10.1016/j.econlet.2022.110540 10.1145/3531146.3533203 10.1089/big.2016.0052 10.1016/S0033-3549(04)50262-5 10.1007/s10614-018-9864-z 10.1257/aer.20161503 10.1126/science.aax2342 10.1145/3465416.3483291 10.7326/M20-8079 10.1145/3490486.3538271 10.1080/01621459.1986.10478354 10.1145/3290605.3300271 10.1287/mnsc.2018.3093 10.1257/000282806776157579 10.1145/3461702.3462524 10.1145/3490486.3538237 10.3390/risks7010029 10.1126/sciadv.adi8411 10.1145/3038912.3052660 10.2139/ssrn.3361280 10.1080/07418820701717243 10.1086/318603 10.24963/ijcai.2017/549 10.1145/3551624.3555306 10.1145/2090236.2090255 10.1016/j.jbi.2020.103621 10.1080/01621459.2015.1077710 10.3389/frai.2020.00034 10.1145/3514221.3517909 10.1037/lhb0000206 10.1609/aaai.v32i1.11553 10.1145/3351095.3372851 10.1145/3351095.3375674 10.1093/jla/laz001 10.36644/mlr.119.2.equal 10.1609/aaai.v33i01.33017801 10.1609/aaai.v32i1.11564 10.1038/s41746-020-0304-9 10.1093/aler/ahz012 10.1086/688907 |
| ContentType | Journal Article |
| Copyright | 2023. Springer Nature America, Inc. Copyright Nature Publishing Group Jul 2023 |
| Copyright_xml | – notice: 2023. Springer Nature America, Inc. – notice: Copyright Nature Publishing Group Jul 2023 |
| DBID | AAYXX CITATION NPM 8FE 8FG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- P5Z P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS 7X8 |
| DOI | 10.1038/s43588-023-00485-4 |
| DatabaseName | CrossRef PubMed ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central UK/Ireland Health Research Premium Collection ProQuest Central Essentials ProQuest Central Technology collection ProQuest One Community College ProQuest Central Korea ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Databases ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic |
| DatabaseTitle | CrossRef PubMed Advanced Technologies & Aerospace Collection Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection ProQuest One Academic Eastern Edition SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central Advanced Technologies & Aerospace Database ProQuest One Applied & Life Sciences ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) MEDLINE - Academic |
| DatabaseTitleList | PubMed Advanced Technologies & Aerospace Collection MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: P5Z name: Advanced Technologies & Aerospace Database url: https://search.proquest.com/hightechjournals sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) |
| EISSN | 2662-8457 |
| EndPage | 610 |
| ExternalDocumentID | 38177749 10_1038_s43588_023_00485_4 |
| Genre | Journal Article Review |
| GeographicLocations | United States--US |
| GeographicLocations_xml | – name: United States--US |
| GroupedDBID | 0R~ AARCD AAYXX ABJNI ACBWK AFANA AFFHD AFKRA AFSHS AFWHJ AGHDO AIBTJ ALMA_UNASSIGNED_HOLDINGS ARAPS ATHPR BENPR BGLVJ CCPQU CITATION HCIFZ K7- NFIDA PHGZM PHGZT PQGLB RNT SNYQT SOJ AAYZH NPM ODYON 8FE 8FG AZQEC DWQXO GNUQQ JQ2 P62 PKEHL PQEST PQQKQ PQUKI PRINS 7X8 |
| ID | FETCH-LOGICAL-c331t-303cc7c572ecebf90a09c5936d7c8beea29352c3ba6dca9e35241c7bb8becd913 |
| IEDL.DBID | P5Z |
| ISICitedReferencesCount | 17 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001035781100010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2662-8457 |
| IngestDate | Wed Oct 01 14:41:10 EDT 2025 Sat Aug 23 13:05:41 EDT 2025 Mon Jul 21 06:02:39 EDT 2025 Sat Nov 29 06:45:21 EST 2025 Tue Nov 18 22:20:41 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 7 |
| Language | English |
| License | 2023. Springer Nature America, Inc. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c331t-303cc7c572ecebf90a09c5936d7c8beea29352c3ba6dca9e35241c7bb8becd913 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 |
| ORCID | 0000-0002-6103-9318 |
| PMID | 38177749 |
| PQID | 3226000475 |
| PQPubID | 7343593 |
| PageCount | 10 |
| ParticipantIDs | proquest_miscellaneous_2911842282 proquest_journals_3226000475 pubmed_primary_38177749 crossref_primary_10_1038_s43588_023_00485_4 crossref_citationtrail_10_1038_s43588_023_00485_4 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-07-01 |
| PublicationDateYYYYMMDD | 2023-07-01 |
| PublicationDate_xml | – month: 07 year: 2023 text: 2023-07-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: New York |
| PublicationTitle | Nature Computational Science |
| PublicationTitleAlternate | Nat Comput Sci |
| PublicationYear | 2023 |
| Publisher | Nature Publishing Group |
| Publisher_xml | – name: Nature Publishing Group |
| References | Z Obermeyer (485_CR65) 2019; 366 AN Carey (485_CR45) 2022; 5 JK Paulus (485_CR62) 2020; 3 MJ Arnett (485_CR98) 2016; 93 485_CR89 485_CR85 A Gupta (485_CR95) 2016; 45 485_CR69 R Shroff (485_CR19) 2017; 5 A Koenecke (485_CR99) 2020; 117 C Simoiu (485_CR82) 2017; 11 K Imai (485_CR66) 2023; 186 485_CR71 485_CR70 TB Gillis (485_CR60) 2022; 106 485_CR77 485_CR76 485_CR79 485_CR72 485_CR75 485_CR74 StephanieHolmes Didwania (485_CR92) 2020; 22 J Knowles (485_CR86) 2001; 109 RS Engel (485_CR87) 2008; 25 485_CR59 M Hardt (485_CR34) 2016; 29 D Card (485_CR73) 2020; 3 LE Boulware (485_CR101) 2003; 118 GO Mohler (485_CR6) 2015; 110 JP Cerdeña (485_CR32) 2020; 396 485_CR100 485_CR103 485_CR102 D Hellman (485_CR27) 2020; 106 J Skeem (485_CR12) 2016; 40 485_CR105 485_CR104 ML Doucette (485_CR7) 2021; 98 485_CR48 485_CR47 485_CR49 485_CR55 W Dobbie (485_CR93) 2018; 108 485_CR54 485_CR51 485_CR50 S Mitchell (485_CR30) 2021; 8 485_CR53 485_CR52 M Leo (485_CR1) 2019; 7 PW Holland (485_CR78) 1986; 81 485_CR37 485_CR36 485_CR38 A Chouldechova (485_CR39) 2020; 63 SR Pfohl (485_CR64) 2021; 113 J Kleinberg (485_CR68) 2018; 10 485_CR44 485_CR43 485_CR46 A Chohlas-Wood (485_CR8) 2019; 49 485_CR40 485_CR42 485_CR41 A Huq (485_CR25) 2019; 68 DJ Greiner (485_CR80) 2011; 93 MD McCradden (485_CR61) 2020; 2 B Wilder (485_CR5) 2021; 35 485_CR35 E Leslie (485_CR94) 2017; 60 Y Zhang (485_CR2) 2019; 54 485_CR18 CF Manski (485_CR33) 2022; 31 485_CR14 485_CR17 485_CR16 I Ayres (485_CR83) 2002; 4 JJ Friedewald (485_CR4) 2013; 93 M DeMichele (485_CR10) 2020; 19 A Lambrecht (485_CR15) 2019; 65 PT Kim (485_CR58) 2022; 110 M Sen (485_CR81) 2016; 19 R Aggarwal (485_CR3) 2022; 175 A Chouldechova (485_CR31) 2017; 5 485_CR22 485_CR21 485_CR24 S Barocas (485_CR29) 2016; 104 485_CR23 CS Yang (485_CR26) 2020; 119 SG Mayson (485_CR28) 2019; 128 A Chander (485_CR57) 2016; 115 485_CR20 R Brough (485_CR96) 2022; 216 S Anwar (485_CR88) 2006; 96 GC Galster (485_CR84) 1993; 4 JR Bent (485_CR56) 2019; 108 A Fishbane (485_CR90) 2020; 370 R Berk (485_CR67) 2021; 50 485_CR91 485_CR9 485_CR11 485_CR13 SN Goodman (485_CR63) 2018; 169 485_CR97 |
| References_xml | – volume: 50 start-page: 3 year: 2021 ident: 485_CR67 publication-title: Sociol. Methods Res. doi: 10.1177/0049124118782533 – ident: 485_CR20 – volume: 370 start-page: eabb6591 year: 2020 ident: 485_CR90 publication-title: Science doi: 10.1126/science.abb6591 – volume: 93 start-page: 1395 year: 2013 ident: 485_CR4 publication-title: Surg. Clin. – volume: 31 start-page: 2109 year: 2022 ident: 485_CR33 publication-title: Health Econ. doi: 10.1002/hec.4569 – ident: 485_CR89 – volume: 4 start-page: 131 year: 2002 ident: 485_CR83 publication-title: Justice Res. Policy doi: 10.3818/JRP.4.1.2002.131 – ident: 485_CR14 – volume: 106 start-page: 1175 year: 2022 ident: 485_CR60 publication-title: Minn. Law Rev. – volume: 5 start-page: 892837 year: 2022 ident: 485_CR45 publication-title: Front. Big Data doi: 10.3389/fdata.2022.892837 – volume: 169 start-page: 883 year: 2018 ident: 485_CR63 publication-title: Ann. Internal Med. doi: 10.7326/M18-3297 – volume: 396 start-page: 1125 year: 2020 ident: 485_CR32 publication-title: The Lancet doi: 10.1016/S0140-6736(20)32076-6 – ident: 485_CR79 doi: 10.1080/2330443X.2021.2024778 – volume: 49 start-page: 154 year: 2019 ident: 485_CR8 publication-title: INFORMS J. Appl. Anal. doi: 10.1287/inte.2019.0985 – ident: 485_CR43 – ident: 485_CR48 – ident: 485_CR16 doi: 10.1145/3313831.3376638 – volume: 117 start-page: 7684 year: 2020 ident: 485_CR99 publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1915768117 – volume: 4 start-page: 141 year: 1993 ident: 485_CR84 publication-title: Hous. Policy Debate doi: 10.1080/10511482.1993.9521127 – ident: 485_CR50 doi: 10.1145/3461702.3462587 – ident: 485_CR17 – volume: 110 start-page: 1539 year: 2022 ident: 485_CR58 publication-title: Calif. Law Rev. – volume: 186 start-page: 167 year: 2023 ident: 485_CR66 publication-title: J. R. Stat. Soc. Ser. A doi: 10.1093/jrsssa/qnad010 – volume: 115 start-page: 1023 year: 2016 ident: 485_CR57 publication-title: Mich. Law Rev. – ident: 485_CR103 – volume: 60 start-page: 529 year: 2017 ident: 485_CR94 publication-title: J. Law Econ. doi: 10.1086/695285 – ident: 485_CR23 – volume: 11 start-page: 1193 year: 2017 ident: 485_CR82 publication-title: Ann. Appl. Stat. doi: 10.1214/17-AOAS1058 – volume: 29 start-page: 3315 year: 2016 ident: 485_CR34 publication-title: Adv. Neural Inf. Process. Syst. – volume: 93 start-page: 456 year: 2016 ident: 485_CR98 publication-title: J. Urban Health doi: 10.1007/s11524-016-0054-9 – volume: 19 start-page: 499 year: 2016 ident: 485_CR81 publication-title: Annu. Rev. Polit. Sci. doi: 10.1146/annurev-polisci-032015-010015 – ident: 485_CR75 doi: 10.1145/3442188.3445919 – ident: 485_CR55 – ident: 485_CR35 – volume: 98 start-page: 609 year: 2021 ident: 485_CR7 publication-title: J. Urban Health doi: 10.1007/s11524-021-00515-4 – volume: 2 start-page: e221 year: 2020 ident: 485_CR61 publication-title: Lancet Digit. Health doi: 10.1016/S2589-7500(20)30065-0 – ident: 485_CR37 doi: 10.1145/3097983.3098095 – volume: 93 start-page: 775 year: 2011 ident: 485_CR80 publication-title: Rev. Econ. Stat. doi: 10.1162/REST_a_00110 – volume: 19 start-page: 409 year: 2020 ident: 485_CR10 publication-title: Criminol. Public Policy doi: 10.1111/1745-9133.12481 – ident: 485_CR102 – ident: 485_CR41 – ident: 485_CR46 – volume: 128 start-page: 2218 year: 2019 ident: 485_CR28 publication-title: Yale Law J. – volume: 8 start-page: 141 year: 2021 ident: 485_CR30 publication-title: Annu. Rev. Stat. Appl. doi: 10.1146/annurev-statistics-042720-125902 – ident: 485_CR77 – volume: 5 start-page: 153 year: 2017 ident: 485_CR31 publication-title: Big Data doi: 10.1089/big.2016.0047 – volume: 63 start-page: 82 year: 2020 ident: 485_CR39 publication-title: Commun. ACM doi: 10.1145/3376898 – ident: 485_CR97 doi: 10.1609/icwsm.v17i1.22163 – volume: 216 start-page: 110540 year: 2022 ident: 485_CR96 publication-title: Econ. Lett. doi: 10.1016/j.econlet.2022.110540 – ident: 485_CR100 doi: 10.1145/3531146.3533203 – volume: 5 start-page: 189 year: 2017 ident: 485_CR19 publication-title: Big Data doi: 10.1089/big.2016.0052 – volume: 118 start-page: 358 year: 2003 ident: 485_CR101 publication-title: Public Health Rep. doi: 10.1016/S0033-3549(04)50262-5 – volume: 54 start-page: 1043 year: 2019 ident: 485_CR2 publication-title: Comput. Econ. doi: 10.1007/s10614-018-9864-z – volume: 35 start-page: 14948 year: 2021 ident: 485_CR5 publication-title: Proc. AAAI Conf. Artif. Intell. – ident: 485_CR105 – volume: 108 start-page: 201 year: 2018 ident: 485_CR93 publication-title: Am. Econ. Rev. doi: 10.1257/aer.20161503 – volume: 104 start-page: 671 year: 2016 ident: 485_CR29 publication-title: Calif. Law Rev. – volume: 366 start-page: 447 year: 2019 ident: 485_CR65 publication-title: Science doi: 10.1126/science.aax2342 – ident: 485_CR70 doi: 10.1145/3465416.3483291 – ident: 485_CR76 – ident: 485_CR91 – volume: 175 start-page: 765 year: 2022 ident: 485_CR3 publication-title: Ann. Intern. Med. doi: 10.7326/M20-8079 – ident: 485_CR21 doi: 10.1145/3490486.3538271 – ident: 485_CR9 – ident: 485_CR85 – volume: 81 start-page: 945 year: 1986 ident: 485_CR78 publication-title: J. Am. Stat. Assoc. doi: 10.1080/01621459.1986.10478354 – ident: 485_CR18 doi: 10.1145/3290605.3300271 – volume: 65 start-page: 2966 year: 2019 ident: 485_CR15 publication-title: Manag. Sci. doi: 10.1287/mnsc.2018.3093 – ident: 485_CR24 – volume: 68 start-page: 1043 year: 2019 ident: 485_CR25 publication-title: Duke Law J. – volume: 96 start-page: 127 year: 2006 ident: 485_CR88 publication-title: Am. Econ. Rev. doi: 10.1257/000282806776157579 – ident: 485_CR13 doi: 10.1145/3461702.3462524 – ident: 485_CR72 doi: 10.1145/3490486.3538237 – volume: 7 start-page: 29 year: 2019 ident: 485_CR1 publication-title: Risks doi: 10.3390/risks7010029 – ident: 485_CR104 doi: 10.1126/sciadv.adi8411 – ident: 485_CR42 doi: 10.1145/3038912.3052660 – ident: 485_CR44 – ident: 485_CR69 doi: 10.2139/ssrn.3361280 – volume: 25 start-page: 54 year: 2008 ident: 485_CR87 publication-title: Justice Q. doi: 10.1080/07418820701717243 – ident: 485_CR22 – volume: 109 start-page: 203 year: 2001 ident: 485_CR86 publication-title: J. Polit. Econ. doi: 10.1086/318603 – ident: 485_CR54 doi: 10.24963/ijcai.2017/549 – volume: 106 start-page: 811 year: 2020 ident: 485_CR27 publication-title: Va Law Rev. – ident: 485_CR51 – ident: 485_CR59 – volume: 108 start-page: 803 year: 2019 ident: 485_CR56 publication-title: Georgetown Law J. – ident: 485_CR71 doi: 10.1145/3551624.3555306 – ident: 485_CR38 doi: 10.1145/2090236.2090255 – volume: 113 start-page: 103621 year: 2021 ident: 485_CR64 publication-title: J. Biomed. Inform. doi: 10.1016/j.jbi.2020.103621 – volume: 110 start-page: 1399 year: 2015 ident: 485_CR6 publication-title: J. Am. Stat. Assoc. doi: 10.1080/01621459.2015.1077710 – volume: 3 start-page: 34 year: 2020 ident: 485_CR73 publication-title: Front. Artif. Intell. doi: 10.3389/frai.2020.00034 – ident: 485_CR49 doi: 10.1145/3514221.3517909 – volume: 40 start-page: 580 year: 2016 ident: 485_CR12 publication-title: Law Hum. Behav. doi: 10.1037/lhb0000206 – ident: 485_CR47 doi: 10.1609/aaai.v32i1.11553 – ident: 485_CR40 doi: 10.1145/3351095.3372851 – ident: 485_CR74 doi: 10.1145/3351095.3375674 – ident: 485_CR36 – volume: 10 start-page: 113 year: 2018 ident: 485_CR68 publication-title: J. Legal Anal. doi: 10.1093/jla/laz001 – volume: 119 start-page: 291 year: 2020 ident: 485_CR26 publication-title: Mich. Law Rev. doi: 10.36644/mlr.119.2.equal – ident: 485_CR52 doi: 10.1609/aaai.v33i01.33017801 – ident: 485_CR53 doi: 10.1609/aaai.v32i1.11564 – ident: 485_CR11 – volume: 3 start-page: 99 year: 2020 ident: 485_CR62 publication-title: NPJ Digit. Med. doi: 10.1038/s41746-020-0304-9 – volume: 22 start-page: 24 year: 2020 ident: 485_CR92 publication-title: Am. Law Econ. Rev. doi: 10.1093/aler/ahz012 – volume: 45 start-page: 471 year: 2016 ident: 485_CR95 publication-title: J. Legal Stud. doi: 10.1086/688907 |
| SSID | ssj0002513063 |
| Score | 2.3874183 |
| SecondaryResourceType | review_article |
| Snippet | Predictive algorithms are now commonly used to distribute society's resources and sanctions. But these algorithms can entrench and exacerbate inequities. To... Predictive algorithms are now commonly used to distribute society’s resources and sanctions. But these algorithms can entrench and exacerbate inequities. To... |
| SourceID | proquest pubmed crossref |
| SourceType | Aggregation Database Index Database Enrichment Source |
| StartPage | 601 |
| SubjectTerms | Algorithms Body mass index Constraints Decision making Diabetes Ethnicity Hispanic Americans Patients Principles Social exclusion |
| Title | Designing equitable algorithms |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/38177749 https://www.proquest.com/docview/3226000475 https://www.proquest.com/docview/2911842282 |
| Volume | 3 |
| WOSCitedRecordID | wos001035781100010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 2662-8457 dateEnd: 20241211 omitProxy: false ssIdentifier: ssj0002513063 issn: 2662-8457 databaseCode: P5Z dateStart: 20210101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 2662-8457 dateEnd: 20241211 omitProxy: false ssIdentifier: ssj0002513063 issn: 2662-8457 databaseCode: K7- dateStart: 20210101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2662-8457 dateEnd: 20241211 omitProxy: false ssIdentifier: ssj0002513063 issn: 2662-8457 databaseCode: BENPR dateStart: 20210101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LSwMxEB609eDF96NaywoeFAl2n9mcxFcRhFJEoXgJyWyqgrba3fr7neymFQ_24jFkN7tMZvINmeT7AI4GBAka2xRIEQ5YpP2QaZUkLNFCoIoNxroSm-Ddbtrvi57bcMvdscrpmlgu1NkI7R75GTleYhMQHp9_fDKrGmWrq05CYxHqliXBSjf04qfZHgthN2XEobsr0w7Ts5yyA3INAipmfTdm0W88-iPJLMGms_rf31yDFZdmeheVX6zDghluwLoL5Nw7dmzTJ5vQui7PcBCCeeZz8lrYq1SeenumQYuX93wLHjs3D1e3zIkmMAxDv2AESYgcYx4YNHog2qot0Mr2ZRxTbYwifI8DDGlGMlTCUCPykWtNnZgJP9yG2nA0NLvgqUQnSSAGJrOkcoYLQrmUZxTBSkcxVw3wp6aT6BjFrbDFmywr22EqK3NLMrcszS2jBpzO3vmo-DTmPt2cWlm62Mrlj4kbcDjrpqiwpQ41NKNJLgNaw1PLbhY0YKeaydnnLCchJb1ib_7g-7AclH5ij-Y2oVaMJ-YAlvCreM3HLVjk_bQF9cubbu-eWnectUrn-wZEXtwL |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB61Bam9AIECgRCMBBJVtUrstb3eQ1VVDVWrlIhDkHJbdscbiNTmZQfEn-I3MutHKg7klkOP1trrx3wz3-d9zAC8HxMlGOySI4U4ZqHxOTM6jllspEQdWYxMWWxCDAbJaCS_7MCfei-MW1ZZx8QiUKczdGPkHQJe7ASIiE7nC-aqRrnZ1bqERgmLvv39i37ZspOrHtn3QxBcfBqeX7KqqgBDzv2cUcxGFBiJwKI1Y9nVXYmurl0qMDHWaiLAKEBOj5yilpYOQh-FMdSIqfQ59bsLD0KeCOdXfcHWYzqkFUiB82pvTpcnnYzUCEGRiJE5X4lY-C___UfUFuR28fi-fZYn8KiS0d5ZifsG7NjpU2hUgSrzPlbZtI-eQbtXrFEhhvbsYjXJ3VYxT998p5fIf9xmh_B1K8_5HPams6l9CZ6OTRwHcmxTlzTPCkksnoiUIpQ2YSR0E_zaVAqrjOmucMeNKmbueaJK8yoyryrMq8ImHK-vmZf5Qjae3aqtqqrYkak7kzbh3bqZvN5N5eipna0yFRBHJS57W9CEFyVy1rdzORdJ1MtXmzt_C_uXw8_X6vpq0H8NB0GBUbcMuQV7-XJl38BD_JlPsmW7ALkH37YNn7_SnDhT |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Designing+equitable+algorithms&rft.jtitle=Nature+Computational+Science&rft.au=Chohlas-Wood%2C+Alex&rft.au=Coots%2C+Madison&rft.au=Goel%2C+Sharad&rft.au=Nyarko%2C+Julian&rft.date=2023-07-01&rft.issn=2662-8457&rft.eissn=2662-8457&rft.volume=3&rft.issue=7&rft.spage=601&rft.epage=610&rft_id=info:doi/10.1038%2Fs43588-023-00485-4&rft.externalDBID=n%2Fa&rft.externalDocID=10_1038_s43588_023_00485_4 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2662-8457&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2662-8457&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2662-8457&client=summon |