1. Machine bias: There’s software used across the country to predict future criminals. And it’s biased against blacks;Angwin,2016
2. Factuality challenges in the era of large language models;Augenstein,2023
3. Big data’s disparate impact;Barocas;California Law Review,2016
4. Fairness in criminal justice risk assessments: The state of the art;Berk;Sociological Methods & Research,2018
5. Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. In Proceedings of the 1st conference on fairness, accountability and transparency (pp. 77–91).