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Uncertainty quantification and validation of AI Systems

Автор: GLAMI AI

Загружено: 2024-12-10

Просмотров: 26

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By Markus Lnage (The German Aerospace Center): AI is everywhere but safe and robust AI Systems are hard to come by. In this talk the speaker presents some projects and related research into safe and secure AI Systems for safety critical applications. In particular we will talk about uncertainty quantification and first steps into the validation process for an AI use-case involving a reinforcement learning agent.

Meetup page: https://www.meetup.com/miton-times/

Uncertainty quantification and validation of AI Systems

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