Building Reliable AI for Financial Predictions

Lunch and Learn with Professor Bradford Levy

Modern AI models show impressive results on financial forecasting tasks — but many of these results fail in real-world use because models can unintentionally rely on information that would not have been available at prediction time. This session explores how large language models can be applied responsibly to financial prediction, with a focus on understanding and preventing lookahead bias. In conversation with second year student, Santiago Etchepare, from the AI student group, Prof. Levy will discuss why this issue is especially important with today’s frontier AI systems and what it takes to build forecasting models that are truly forward-looking, reliable, and suitable for real deployment.

Event Venue & Nearby Stays

Chicago Booth Harper Center, Room C08, 5807 South Woodlawn Avenue, Chicago, United States

Concerts, fests, parties, meetups - all the happenings, one place.

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