A data quality approach to the identification of discrimination risk in automated decision making systems-Reference-Cited by-同舟云学术

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A data quality approach to the identification of discrimination risk in automated decision making systems

Published:2021-10 Issue:4 Volume:38 Page:101619
ISSN:0740-624X
Container-title:Government Information Quarterly
language:en
Short-container-title:Government Information Quarterly

Author:

Vetrò Antonio^ORCID,Torchiano Marco,Mecati Mariachiara^ORCID

Publisher

Elsevier BV

Subject

Law,Library and Information Sciences,Sociology and Political Science

Reference80 articles.

1. Algorithmic accountability act of 2019 H.R. 2231;116th United States Congress,2019

2. ‘Computer Says No!’: The impact of automation on the discretionary power of public officers;Abu Elyounes,2020

3. Discrimination through optimization: How facebook's ad delivery can lead to biased outcomes;Ali,2021

4. Amazon sageMaker clarify – Bias detection and explainability – Amazon web services;Amazon Web Services,2021

5. COMPAS recidivism racial bias, propublica/compas-analysis;Angwin,2016

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4. EU Administrative Decision-Making Delegated to Machines – Legal Challenges and Issues;AUC IURIDICA;2024-05-23

5. Examining Value Creation in Public Sector AI Implementation;Lecture Notes in Computer Science;2024

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