Algorithmic Fairness and Social Welfare.
The article explores the relationship between algorithmic fairness and social welfare, specifically in the context of decision-making algorithms. It compares two approaches to fairness: one that focuses on group identity and statistical measures, and another that considers social welfare and fairnes...
| Publicado en: | AEA Papers & Proceedings Vol. 114; pp. 628 - 633 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Economic Association
May2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=177441051&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 177441051 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 25740768 LNGQ jtl: AEA Papers & Proceedings issn: 25740768 maglogo: N pubinfo: dt: May2024 vid: 114 pid: 22 pub: American Economic Association artinfo: ui: 177441051 10.1257/pandp.20241073 ppf: 628 ppct: 5 formats: tig: atl: Algorithmic Fairness and Social Welfare. aug: au: LIANG, ANNIE LU, JAY affil: Northwestern University University of California, Los Angeles su: Social services Fairness Jensen's inequality Optimization algorithms sug: subj: Social services Fairness Other Individual and Family Services Jensen's inequality Optimization algorithms ab: The article explores the relationship between algorithmic fairness and social welfare, specifically in the context of decision-making algorithms. It compares two approaches to fairness: one that focuses on group identity and statistical measures, and another that considers social welfare and fairness from an individual's perspective. The authors argue that these approaches have different normative content and can lead to different outcomes. They propose a framework that incorporates both perspectives and suggest that further research is needed to justify these approaches. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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