Towards a Just Theory of Measurement-Reference-Cited by-同舟云学术

Towards a Just Theory of Measurement

Published:2019-01-27 Issue: Volume: Page:
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Container-title:Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
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Author:

Andrus McKane¹,Gilbert Thomas K.¹

Affiliation:

1. University of California, Berkeley, Berkeley, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3306618.3314275

Reference21 articles.

1. David Bartholomew. 1996. Response to Statistics and the theory of measurement. Journal of the Royal Statistical Society. Series A (Statistics in Society) (1996) 473--474. David Bartholomew. 1996. Response to Statistics and the theory of measurement. Journal of the Royal Statistical Society. Series A (Statistics in Society) (1996) 473--474.

2. Reuben Binns. 2017. Fairness in Machine Learning: Lessons from Political Philosophy. arXiv preprint arXiv:1712.03586 (2017). Reuben Binns. 2017. Fairness in Machine Learning: Lessons from Political Philosophy. arXiv preprint arXiv:1712.03586 (2017).

3. Anna Brown Alexandra Chouldechova Emily Putnam-Hornstein Andrew Tobin and Rhema Vaithianathan. 2019. Toward Algorithmic Accountability in Public Services. (2019). Anna Brown Alexandra Chouldechova Emily Putnam-Hornstein Andrew Tobin and Rhema Vaithianathan. 2019. Toward Algorithmic Accountability in Public Services. (2019).

4. Donald T Campbell. 1979. Assessing the impact of planned social change. Evaluation and program planning Vol. 2 1 (1979) 67--90. Donald T Campbell. 1979. Assessing the impact of planned social change. Evaluation and program planning Vol. 2 1 (1979) 67--90.

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