Framework for Bias Detection in Machine Learning Models: A Fairness Approach-Reference-Cited by-同舟云学术

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Framework for Bias Detection in Machine Learning Models: A Fairness Approach

Published:2024-03-04 Issue: Volume:8 Page:1152-1154
ISSN:
Container-title:Proceedings of the 17th ACM International Conference on Web Search and Data Mining
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Author:

Rosado Gomez Alveiro Alonso¹^ORCID,Calderón Benavides Maritza Liliana²^ORCID

Affiliation:

1. Universidad Francisco de Paula Santander Ocaña, Ocaña, Colombia

2. Universidad Autonoma de Bucaramanga, Bucaramanga, Colombia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616855.3635731

Reference44 articles.

1. DPN. Documento conpes 3920 2018. Departamento Nacional de Planeación Colombia.

2. DPN. Documento conpes 3975 2019. Departamento Nacional de Planeación Colombia.

3. Maria Paula Mujica Ramírez and Armando Guio Español. Misión de expertos en ia de colombia. pages 1--88, 2022.

4. Risk Identification Questionnaire for Detecting Unintended Bias in the Machine Learning Development Lifecycle

5. Andrew D Selbst, Sorelle A Friedler, Suresh Venkatasubramanian, and Janet Vertesi. Fairness and abstraction in sociotechnical systems. 1(1):1--17, 2018.

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