AI systems are increasingly interacting with users who are not experts in AI. This has led to growing calls for better safety assessment and regulation of AI systems. However, broad questions remain on the processes and technical approaches that would be required to conceptualize, express, manage, and enforce such regulations for adaptive AI systems, which by nature, are expected to exhibit different behaviors while adapting to evolving user requirements and deployment environments. This symposim will foster research and development of new paradigms for assessment and design of AI systems that are not only efficient according to a task-based performance measure, but also safe to use by diverse groups of users and compliant with the relevant regulatory frameworks.

AI systems are increasingly interacting with users who are not experts in AI. This has led to growing calls for better safety assessment and regulation of AI systems. However, broad questions remain on the processes and technical approaches that would be required to conceptualize, express, manage, and enforce such regulations for adaptive AI systems, which by nature, are expected to exhibit different behaviors while adapting to evolving user requirements and deployment environments. This symposim will foster research and development of new paradigms for assessment and design of AI systems that are not only efficient according to a task-based performance measure, but also safe to use by diverse groups of users and compliant with the relevant regulatory frameworks.
Monday, March 25, 2024 - Wednesday, March 27, 2024
Stanford University
Stanford, United States