When algorithms import private bias into public enforcement : the promise and limitations of statistical debiasing solutions
by Kristen M. Altenburger and Daniel E. Ho
| Year of publication: |
2019
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|---|---|
| Authors: | Altenburger, Kristen M. ; Houser, Daniel |
| Published in: |
Journal of institutional and theoretical economics : JITE. - Tübingen : Mohr Siebeck, ISSN 0932-4569, ZDB-ID 232799-5. - Vol. 175.2019, 1, p. 98-122
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| Subject: | racial bias | antidiscrimination | predictive targeting | algorithmic fairness | Theorie | Theory | Ethnische Diskriminierung | Ethnic discrimination | Algorithmus | Algorithm | Systematischer Fehler | Bias | Prognoseverfahren | Forecasting model | Gerechtigkeit | Justice | Diskriminierung | Discrimination |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1628/jite-2019-0001 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012057211