معرفی
Hoda Heidari is the K&L Gates Career Development Assistant Professor in Ethics and Computational Technologies at Carnegie Mellon University, with joint appointments in the Machine Learning Department and the Institute for Software, Systems, and Society. She is affiliated with the Human-Computer Interaction Institute, Heinz College of Information Systems and Public Policy, and co-leads the Responsible AI Initiative and K&L Gates Initiative for Ethics and Computational Technologies at CMU.
- Education: PhD in Computer and Information Science from University of Pennsylvania, MSc in Statistics from Wharton School.
Research Interests focus on the ethical, societal, and policy implications of AI, particularly algorithmic fairness, accountability, and governance for high-stakes applications. Her work addresses:
- Fairness and Accountability in AI
- Evaluation of Risks/Benefits in General-Purpose AI
- Human-AI Interaction and Delegation
- Policy Frameworks for Responsible AI
- Moral Decision-Making in AI Systems
- Generative AI Risks and Red-Teaming
Recent Publications (2024-2025) analyze fairness metrics for generative AI, real-world AI incident risks, algorithmic governance tools, and human-AI collaboration dynamics. Common themes include ethical frameworks, policy implications, and technical remedies for unfairness.
Awards:
- Best Paper at AIES 2024
- Best Paper at SAT-ML 2023
Grants: Supported by NSF Program on Fairness in AI (with Amazon), PwC, CyLab, Meta, J. P. Morgan, and NSF AI Institute for Societal Decision Making.
