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Reliability at Multiple Stages in a Data Analysis Pipeline.

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Title: Reliability at Multiple Stages in a Data Analysis Pipeline.
Authors: MOSKOVITCH, YUVAL1,2,3 yuvalmos@bgu.ac.il, JAGADISH, H. V.4,5,6
Source: Communications of the ACM. Nov2022, Vol. 65 Issue 11, p118-128. 11p. 2 Diagrams, 4 Charts.
Subjects: Decision support systems, Software reliability, Racism, Sexism, Fairness, Machine learning, Algorithms
Abstract: This article details how to incorporate reliability in data-driven decision-making tools. The importance of reliability in this type of software is explained, involving the affect on people’s day-to-day lives and the existing evidence of racial and gender bias in these tools. Ways to improve reliability in the tools is discussed, including appropriate datasets, pattern count-based labels, label computation and fairness measures. The author focuses on categorical data and details various angles where reliability and fairness can be examined in these decision-making tools.
Database: Engineering Source
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  Data: <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Nov2022, Vol. 65 Issue 11, p118-128. 11p. 2 Diagrams, 4 Charts.
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  Data: This article details how to incorporate reliability in data-driven decision-making tools. The importance of reliability in this type of software is explained, involving the affect on people’s day-to-day lives and the existing evidence of racial and gender bias in these tools. Ways to improve reliability in the tools is discussed, including appropriate datasets, pattern count-based labels, label computation and fairness measures. The author focuses on categorical data and details various angles where reliability and fairness can be examined in these decision-making tools.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=159802815
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      – SubjectFull: Racism
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      – SubjectFull: Machine learning
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      – SubjectFull: Algorithms
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      – TitleFull: Reliability at Multiple Stages in a Data Analysis Pipeline.
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              Text: Nov2022
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