Heidari, Hoda

Fairness in Criminal Justice Risk Assessments: The State of the Art

Berk, R., Heidari, H., Jabbari, S., Kearns, M., & Roth, A. (2021) · Sociological Methods & Research

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 988

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices

Speicher, T., Heidari, H., Grgic-Hlaca, N., Gummadi, K. P., Singla, A., Weller, A., & Zafar, M. B. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 207

A Convex Framework for Fair Regression

Berk, R., Heidari, H., Jabbari, S., Joseph, M., Kearns, M., Morgenstern, J., Neel, S., & Roth, A. (2017) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 198

Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning

Srivastava, M., Heidari, H., & Krause, A. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 179

Red-Teaming for Generative AI: Silver Bullet or Security Theater?

Feffer, M., Sinha, A., Deng, W. H., Lipton, Z. C., & Heidari, H. (2024) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 75

The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals

Kawakami, A., Coston, A., Zhu, H., Heidari, H., & Holstein, K. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 54

Preventing Disparate Treatment in Sequential Decision Making

Heidari, H., & Krause, A. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 35

Toward a science of human–AI teaming for decision making: a complementarity framework

Gonzalez, C., Donahue, K., Goldstein, D. G., Heidari, H., Jalali, M. S., Schelble, B., Singh, A., & Woolley, A. W. (2026) · PNAS Nexus

Human-Automation Interaction and SafetyTeam Dynamics and Performance

Cited by 33

Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use

Kawakami, A., Coston, A., Heidari, H., Holstein, K., & Zhu, H. (2024) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 24

International AI Safety Report

Bengio, Y., Mindermann, S., Privitera, D., Besiroglu, T., Bommasani, R., Casper, S., Choi, Y., Fox, P., Garfinkel, B., Goldfarb, D., et al. (2025) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 16

Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs

Johnson, N., Silva, E., Leon, H., Eslami, M., Schwanke, B., Dotan, R., & Heidari, H. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIPublic Procurement and Policy

Cited by 12

Moral Machine or Tyranny of the Majority?

Feffer, M., Heidari, H., & Lipton, Z. C. (2023) · arXiv

Game Theory and Voting SystemsEthics and Social Impacts of AI

Cited by 11

Disclosure or Marketing? Analyzing the Efficacy of Vendor Self-reports for Vetting Public-sector AI

Kuehnert, B., Johnson, N., Dotan, R., & Heidari, H. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 0