Paper Title Cite this Codecard: Leveraging LLMs to Evaluate AI Model Code Development with the System Cards Framework Bahiru, T. K. and Kakadiaris, I. A., "Codecard: Leveraging LLMs to Evaluate AI Model Code Development with the System Cards Framework" In Proc. 14th International Conference on Model and Data Engineering (MEDI), Cairo, Egypt, November 2–4, 2025. (In press). Data Subcard: Evaluating Privacy, Fairness, Quality, and Protection in Tabular Data, as Part of the System Cards Framework Bahiru, T. K., Carlos Ordonez, and Kakadiaris, I. A., "Data Subcard: Evaluating Privacy, Fairness, Quality, and Protection in Tabular Data, as Part of the System Cards Framework" In Proc. 12th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Birmingham, UK, October 9–13, 2025. (in press). AI Data Development: A Scorecard for the System Card Framework Bahiru, T. K., Tibebu, H., and Kakadiaris, I. A., "AI Data Development: A Scorecard for the System Card Framework." In the Proc. of the International Conference on Information Technology and Artificial Intelligence (ITAI 2025), Gurgaon, India, January 24–25, 2025. System Card+: Responsible AI Framework for Decision Support Systems Tibebu, H., and Kakadiaris, I. A., "System Card+: Responsible AI Framework for Decision Support Systems." In the Proc. of the International Conference on Information Technology and Artificial Intelligence (ITAI 2025), Gurgaon, India, January 24–25, 2025. Addressing the Intersection of Race and Gender in AI Bias Tibebu, H., and Kakadiaris, I. A., "Addressing the Intersection of Race and Gender in AI Bias." In the Proc. of the 13th SAI Computing Conference, London, United Kingdom, June 19-20, 2025. (in press). Elevating Corporate Profits Over Individual Liberty: Comparing AI Trade Secret Privilege in Criminal Proceedings with Patent Litigation Michaels, Andrew C., "Elevating Corporate Profits Over Individual Liberty: Comparing AI Trade Secret Privilege in Criminal Proceedings with Patent Litigation." In the Houston Law Review, Volume 14, pages 33–42, Spring 2024. System Cards for AI-Based Decision-Making for Public Policy F. Gursoy and I. A. Kakadiaris, “System Cards for AI-Based Decision-Making for Public Policy,” arXiv, 2022. doi: 10.48550/arXiv.2203.04754. A Critical Assessment of the Algorithmic Accountability Act of 2022 Gursoy, F., Kennedy, R., and Kakadiaris, I. A., "A Critical Assessment of the Algorithmic Accountability Act of 2022." SSRN, 2022. doi: 10.2139/ssrn.4193199. Error Parity Fairness: Testing for Group Fairness in Regression Tasks F. Gursoy and I. A. Kakadiaris, “Error Parity Fairness: Testing for Group Fairness in Regression Tasks,” arXiv, 2022. doi: 10.48550/arXiv.2208.08279. Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems 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. The Role of Personality in Trust in Public Policy Automation 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, 2022. Trust in Public Policy Algorithms R. 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. Big Data and Trust in Public Policy Automation 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.
