The Invisible Power of Fairness. How Machine Learning Shapes Democracy-Reference-Cited by-同舟云学术

The Invisible Power of Fairness. How Machine Learning Shapes Democracy

Published:2019 Issue: Volume: Page:238-250
ISSN:0302-9743
Container-title:Advances in Artificial Intelligence
language:
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Author:

Beretta Elena^ORCID,Santangelo Antonio^ORCID,Lepri Bruno^ORCID,Vetrò Antonio^ORCID,De Martin Juan Carlos^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-18305-9_19

Reference28 articles.

1. Barocas, S., Hardt, M., Narayanan, A.: Fairness and Machine Learning. fairmlbook.org (2018). http://www.fairmlbook.org

2. Berk, R., Heidari, H., Jabbari, S., Kearns, M., Roth, A.: Fairness in criminal justice risk assessments: the state of the art. Sociol. Methods Res. (2018)

3. Berliant, M., Thomson, W.: On the fair division of a heterogeneous commodity. J. Math. Econ. 21, 201–216 (1992)

4. Binns, R.: Fairness in machine learning: lessons from political philosophy. In: Friedler, S.A., Wilsonf, C. (eds.) Proceedings of Machine Learning Research, vol. 81, pp. 149–159 (2018)

5. Bobbio, N.: Eguaglianza e libertá. Einaudi, Torino, Italy (1995)

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