We explore the concept of Epistemic AI, which focuses on developing AI models that can identify and express their own uncertainty. This stands in contrast to traditional AI systems that often project false confidence, leading to errors or dangerous outcomes in critical applications like healthcare and autonomous vehicles. The core idea is that an AI capable of recognizing when it lacks sufficient knowledge is not only more honest and trustworthy but also more reliable, providing a crucial shift towards calibrated and safer AI systems by embracing and managing inherent unknowns.

Epistemic AI: The Wisdom of Knowing When You Don’t Know

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