[Achieving AI ROI] Quantifying AI Risk - with Head of AI Insurance at Munich Re, Michael Berger
The AI in Business Podcast
Emphasizing the Need for Uncertainty Information in AI Predictions
This chapter emphasizes the significance of including uncertainty information in AI predictions, particularly in critical domains like healthcare, where AI applications often require nuanced levels of certainty for tasks such as fraud detection and disease diagnosis. The guest underscores the necessity of reimagining AI models to incorporate uncertainty information for more informed decision-making processes.
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