FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893744714> ?p ?o ?g. }

• W2893744714 abstract "This paper describes and assesses several competing group and individual statistical standards of fairness, including the mathematical conflict between predictive parity and equal error rates that requires organizations to choose which measure to satisfy. The choice between statistical concepts of group fairness and individual fairness recalls the dispute between those who think the anti-discrimination laws aim at group disadvantaging practices and those who think they target arbitrary misclassification of individuals. Those analysts who embrace statistical measures of group fairness such as statistical parity and equal group error rates aim at reducing the subordination of disadvantaged groups; those data scientists who favor measures of individual fairness are aiming to avoid the arbitrary misclassification of individuals. Group fairness calls for analytics to aim for statistical parity or equal group error rates for protected groups, while individual fairness says analytics should aim only at accurate predictions. The goal of individual fairness is satisfied with equal accuracy in classification; while the goal of group fairness allows for some sacrifice of equal accuracy to protect vulnerable groups. To bring this normative dimension into sharper focus, this paper explores the extent to which the choice between the statistical concepts of individual and group fairness is related to a fundamental difference toward the principle that people are entitled to reap the rewards of their own talents and skills. The idea that similar people ought to be treated similarly and its image in the statistical concept of equal predictive accuracy gain strength from the normative principle that rewards ought to be distributed according to talents and skills. This paper will address this normative dimension through contrasting Robert Nozick and John Rawls’ approaches to rewarding talent. It will argue in favor of carving out an exception to the principle of basing rewards on merit to allow the use of group fairness measures. The paper also explores the extent to which current relevant Supreme Court decisions would permit designing or modifying algorithms to move toward statistical parity or equalized group error rates." @default.
• W2893744714 created "2018-10-05" @default.
• W2893744714 creator A5082205478 @default.
• W2893744714 date "2018-01-01" @default.
• W2893744714 modified "2023-09-25" @default.
• W2893744714 title "Standards of Fairness for Disparate Impact Assessment of Big Data Algorithms" @default.
• W2893744714 cites W178749942 @default.
• W2893744714 cites W2480171858 @default.
• W2893744714 cites W2505589405 @default.
• W2893744714 cites W2549851299 @default.
• W2893744714 cites W4235025190 @default.
• W2893744714 cites W4236872479 @default.
• W2893744714 cites W4237356318 @default.
• W2893744714 cites W4240254336 @default.
• W2893744714 cites W4242139530 @default.
• W2893744714 cites W4246644538 @default.
• W2893744714 cites W4252795642 @default.
• W2893744714 cites W426402663 @default.
• W2893744714 doi "https://doi.org/10.2139/ssrn.3154788" @default.
• W2893744714 hasPublicationYear "2018" @default.
• W2893744714 type Work @default.
• W2893744714 sameAs 2893744714 @default.
• W2893744714 citedByCount "4" @default.
• W2893744714 countsByYear W28937447142019 @default.
• W2893744714 countsByYear W28937447142020 @default.
• W2893744714 countsByYear W28937447142021 @default.
• W2893744714 crossrefType "journal-article" @default.
• W2893744714 hasAuthorship W2893744714A5082205478 @default.
• W2893744714 hasConcept C109214941 @default.
• W2893744714 hasConcept C121332964 @default.
• W2893744714 hasConcept C15744967 @default.
• W2893744714 hasConcept C17744445 @default.
• W2893744714 hasConcept C178790620 @default.
• W2893744714 hasConcept C185592680 @default.
• W2893744714 hasConcept C199539241 @default.
• W2893744714 hasConcept C2777151079 @default.
• W2893744714 hasConcept C2780623907 @default.
• W2893744714 hasConcept C2781311116 @default.
• W2893744714 hasConcept C41008148 @default.
• W2893744714 hasConcept C44725695 @default.
• W2893744714 hasConcept C77805123 @default.
• W2893744714 hasConceptScore W2893744714C109214941 @default.
• W2893744714 hasConceptScore W2893744714C121332964 @default.
• W2893744714 hasConceptScore W2893744714C15744967 @default.
• W2893744714 hasConceptScore W2893744714C17744445 @default.
• W2893744714 hasConceptScore W2893744714C178790620 @default.
• W2893744714 hasConceptScore W2893744714C185592680 @default.
• W2893744714 hasConceptScore W2893744714C199539241 @default.
• W2893744714 hasConceptScore W2893744714C2777151079 @default.
• W2893744714 hasConceptScore W2893744714C2780623907 @default.
• W2893744714 hasConceptScore W2893744714C2781311116 @default.
• W2893744714 hasConceptScore W2893744714C41008148 @default.
• W2893744714 hasConceptScore W2893744714C44725695 @default.
• W2893744714 hasConceptScore W2893744714C77805123 @default.
• W2893744714 hasLocation W28937447141 @default.
• W2893744714 hasOpenAccess W2893744714 @default.
• W2893744714 hasPrimaryLocation W28937447141 @default.
• W2893744714 hasRelatedWork W2100022784 @default.
• W2893744714 hasRelatedWork W2138257277 @default.
• W2893744714 hasRelatedWork W2158136827 @default.
• W2893744714 hasRelatedWork W2370581109 @default.
• W2893744714 hasRelatedWork W2900077509 @default.
• W2893744714 hasRelatedWork W2945276017 @default.
• W2893744714 hasRelatedWork W2949217602 @default.
• W2893744714 hasRelatedWork W2989949967 @default.
• W2893744714 hasRelatedWork W2995727473 @default.
• W2893744714 hasRelatedWork W3001553940 @default.
• W2893744714 hasRelatedWork W3008720111 @default.
• W2893744714 hasRelatedWork W3012963798 @default.
• W2893744714 hasRelatedWork W3040320828 @default.
• W2893744714 hasRelatedWork W3084429270 @default.
• W2893744714 hasRelatedWork W3108167554 @default.
• W2893744714 hasRelatedWork W3165195675 @default.
• W2893744714 hasRelatedWork W3165211483 @default.
• W2893744714 hasRelatedWork W3178718950 @default.
• W2893744714 hasRelatedWork W3189274727 @default.
• W2893744714 hasRelatedWork W3205751732 @default.
• W2893744714 isParatext "false" @default.
• W2893744714 isRetracted "false" @default.
• W2893744714 magId "2893744714" @default.
• W2893744714 workType "article" @default.