Carnegie Mellon University

Responsible AI Research

Bias, Unfairness, and Discrimination

Defining, measuring, and remedying harmful disparities produced as the result of introducing AI in high-stakes decision.

2022

Akpinar, Heidari, Wu, Zhu, et al (2022)
Kawakami, Holstein, Wu, et al. (2022)
Nagin (2022)
Coston, Chouldechova, et al. (2021)
Hong, Cabrera, et al. (2021)
Ghani et al. (2021)
Coston, Chouldechova, et al. (2020)
Heidari et al. (2019)
London (2019)
Coston et al. (2019)
Holstein, et al. (2019)
Cabrera et al. (2019)
Fox, et al. (2016)
Contact us | ResponsibleAI@cmu.edu