
معرفی
Rayid Ghani is a Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. He is co-lead of the Responsible AI Initiative and founder of the Data Science for Social Good Fellowship, training global professionals in ethical data science applications. His work spans AI governance, fairness, and practical deployment in social policy areas like healthcare, criminal justice, and economic development.
Research Interests:
- Machine Learning for Public Policy
- Fairness and Bias Mitigation in AI
- Human-AI Collaborative Systems
- Explainable and Transparent AI
- Policy Evaluation and Deployment Frameworks
Recent Publications Focus: Streamlining fair ML experimentation, fairness-accuracy trade-offs, eviction prevention systems, and ethical human-AI collaboration frameworks. His work emphasizes operationalizing fairness through stakeholder engagement and technical innovation.
Previous Roles: Founding Director of the Center for Data Science & Public Policy at University of Chicago, Chief Scientist for Obama 2012 Campaign, and Senior Research Scientist at Accenture Labs. He has contributed to ACM, AAAI, and Nature Machine Intelligence publications.
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Rayid GhaniCarnegie Mellon University · استاد- LLydia T. LiuPrinceton University · استادیار
Tae Wan KimCarnegie Mellon University · دانشیار
Wenbin ZhangFlorida International University · استادیار
Zachary LiptonCarnegie Mellon University · استادیار- TThomas GroteLudwig Maximilian University of Munich · پژوهشگر ارشد