Preprints and Working PapersF. Gursoy, R. Kennedy, and I. A. Kakadiaris, “A Critical Assessment of the Algorithmic Accountability Act of 2022,” SSRN, 2022, doi: 10.2139/ssrn.4193199.F. Gursoy and I. A. Kakadiaris, “Error Parity Fairness: Testing for Group Fairness in Regression Tasks,” arXiv, 2022. doi: 10.48550/arXiv.2208.08279.F. Gursoy and I. A. Kakadiaris, “System Cards for AI-Based Decision-Making for Public Policy,” arXiv, 2022. doi: 10.48550/arXiv.2203.04754PublicationsAndrew C. Michaels, Elevating Corporate Profits Over Individual Liberty: Comparing AI Trade Secret Privilege in Criminal Proceedings with Patent Litigation, Hous. L. Rev. 33 (2024).F. Gursoy and I. A. Kakadiaris, “Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems,” 2022 IEEE International Conference on Data Mining Workshops (ICDMW), Orlando, FL, USA, Nov. 28 – Dec. 1, 2022, pp. 137-146, doi: 10.1109/ICDMW58026.2022.00027.P. D. Waggoner and R. Kennedy, “The Role of Personality in Trust in Public Policy Automation,” Journal of Behavioral Data Science, 2 (1), 1-18, 2022R. P. Kennedy, P. D. Waggoner, and M. M. Ward, “Trust in Public Policy Algorithms,” The Journal of Politics, vol. 84, no. 2, pp. 1132–1148, Apr. 2022, doi: 10.1086/716283. P. D. Waggoner, R. Kennedy, H. Le, and M. Shiran, “Big Data and Trust in Public Policy Automation,” Statistics, Politics and Policy, vol. 10, no. 2, pp. 115–136, Dec. 2019, doi: 10.1515/spp-2019-0005.