Collaborative Artificial Intelligence System

Collaborative Artificial Intelligence Systems (CAIS) integrate AI agents with human users to achieve shared goals in dynamic environments, focusing on robust performance and safe human-robot interaction. Current research emphasizes developing models and frameworks to enhance CAIS resilience to disruptive events, optimizing recovery strategies that balance performance restoration with energy efficiency, and establishing rigorous assurance processes to mitigate risks to human safety. This work is crucial for advancing the reliability and trustworthiness of CAIS, enabling their deployment in complex real-world applications such as collaborative robotics and human-centered automation.