
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)
2021
Coston, Chouldechova, et al. (2021)
Hong, Cabrera, et al. (2021)
Ghani et al. (2021)
2020
Coston, Chouldechova, et al. (2020)
2019
Heidari et al. (2019)
London (2019)
Coston et al. (2019)
Holstein, et al. (2019)
Cabrera et al. (2019)
Pre-2019
Contact us | ResponsibleAI@cmu.edu