Yonatan Mintz
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he/him/his
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Expert on application of machine learning in human sensitive settings, ethics of AI, AI in healthcare, how algorithms and humans interact in high stakes settings
Assistant Professor, Industrial and Systems Engineering College of Engineering — Home and cell phones available upon request ymintz@wisc.edu Home page
Topics
- AI algorithms can translate data into decisions, but when decisions are automated how can we make sure they treat individuals with dignity and fairness?
- We all want ethical and safe AI systems, but what does this mean? What are the possible harms and how can we design safe systems?
- AI and Humans learn tasks in radically different ways, what are the shortcomings of automation, and how can we create safe and productive human-ai cooperation?
- Over 60% of adults are overweight or obese, instead of one size fits all recommendations, can personalized incentives generated by AI help lose weight?
- Data from phones and wearables is now widely available, how can we use it to improve our lives and work best for our individual needs?
Achievements
- Author of several academic papers in top journals on reinforcement learning, precision healthcare, AI safety, and Fairness Accountability and Transparency in AI.
- Winner of best poster award from the NeurIPS Workshop on AI for Social Good: titel: "Hard Choices in AI Safety: A Socieotechnical Approach to Certification"
- Area Chair for Machine Learning for Healthcare (ML4H) and Program committee member for Conference on Health, Inference and Learning (CHIL).
- Finalist for INFORMS Health Application Society Pierskalla Best Paper Award for work on using machine learning to personalize messages in weight loss programs.