As AI continues to reshape insurance markets, this one-day workshop brings together leaders from academia, industry, and regulation to examine the challenges and opportunities transforming the future of insurance.
Registration is open at
https://ai-analytics.wharton.upenn.edu/responsible-ai-analytics-for-insurance-workshop/
with discount code AI4INSURANCE10
Featured speakers include experts from Cornell University, NYU Stern School of Business, the DC Department of Insurance, and the Wharton Accountable AI Lab.
The program will explore four key themes:
- When AI Meets Insurance: Regulation, Accountability, Climate, and Affordability
- Bias and Uncertainty in Interpretable Machine Learning
- Fairness for Insurance Pricing
- Climate Disaster Insurance
- AI and Insurance Market Failures
Why attend?
- Hear from leading voices across regulation, academia, and industry on how AI is reshaping pricing, risk, and market stability.
- Explore critical topics including fairness in insurance pricing, uncertainty in machine learning, and the growing impact of climate risk.
- Connect with researchers and practitioners through networking opportunities throughout the day.
From technical advances in interpretable machine learning to pressing regulatory and ethical questions, the workshop is designed to provide both practical insights and a forward-looking perspective on responsible AI in insurance.
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Giles Hooker
University of Pennsylvania
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