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Found 5 papers, 2 papers with code
Modeling Resilience of Collaborative AI Systems
We tested our framework on a real-world case study of a robot collaborating online with the human, when the system is experiencing a disruptive event.
GResilience: Trading Off Between the Greenness and the Resilience of Collaborative AI Systems
A Collaborative Artificial Intelligence System (CAIS) works with humans in a shared environment to achieve a common goal.
CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems
This paper introduces a new methodology to automatically support the decision-making process in CAIS when the system experiences performance degradation after a disruptive event.
Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks
Collaborative AI systems (CAISs) aim at working together with humans in a shared space to achieve a common goal.
Towards Risk Modeling for Collaborative AI
Thus, building such systems with strong assurances of compliance with requirements domain specific standards and regulations is of greatest importance.
