Author:
Shu Ying,Zhang Jiehuang,Yu Han
Publisher
Springer International Publishing
Reference28 articles.
1. Angwin, J., Larson, J., Mattu, S., Kirchner, L.: Machine bias: there’s software used across the country to predict future criminals and it’s biased against blacks. ProPublica (2016)
2. Ballard, S., Chappell, K.M., Kennedy, K.: Judgment call the game: using value sensitive design and design fiction to surface ethical concerns related to technology. In: Proceedings of the 2019 on Designing Interactive Systems Conference, pp. 421–433 (2019)
3. Berk, R., Heidari, H., Jabbari, S., Kearns, M., Roth, A.: Fairness in criminal justice risk assessments: the state of the art. Soc. Meth. Res. 50, 3–44 (2018)
4. Binns, R.: Fairness in machine learning: lessons from political philosophy. In: Conference on Fairness, Accountability and Transparency, pp. 149–159. PMLR (2018)
5. Chouldechova, A.: Fair prediction with disparate impact: a study of bias in recidivism prediction instruments. Big Data 5(2), 153–163 (2017)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献