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Veronika Ročková
Econometrician and researcher at Chicago Booth who specializes in uncertainty quantification and Bayesian methods to improve AI-driven predictions in domains like medicine and astronomy.
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9 snips
Sep 17, 2025
• 28min
The ‘Professor of Uncertainty’ on AI
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Veronika Ročková, an econometrician at Chicago Booth, dives into the intriguing world of AI and its unpredictability. She discusses how AI's tendency to 'hallucinate' information can be harnessed creatively. By applying Bayesian methods, she shows how to leverage randomness for improved medical diagnoses and smarter galaxy classification. Veronika emphasizes the importance of using probabilistic uncertainty for better decision-making and shares tips on crafting effective prompts to enhance AI outputs across various fields.
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