Modeling Resilience of Collaborative AI Systems

Written By Matteo Bertoia
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The paper "Modeling Resilience of Collaborative AI Systems" explores how AI systems can maintain performance despite disruptive events by integrating human feedback. It introduces a framework for measuring resilience in Collaborative AI Systems (CAIS), focusing on real-time learning from human intervention. The study presents a case where an AI-powered robot classifies objects by color, adjusting its confidence threshold to decide when human assistance is needed. If classification uncertainty is high, the system requests human input, enabling adaptive learning. This approach enhances AI reliability, ensuring robust decision-making in dynamic environments.

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Modeling Resilience of Collaborative AI Systems

Online Learning Process in Collaborative Artificial Intelligence System (CAIS)

Matteo Bertoia
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