KAIST Research on Multi-Agent AI Safety Featured on MBC
The research team developed Multi-Agent Dark-Web Safety, a simulation framework for evaluating privacy and information security risks in multi-agent AI systems. It examines whether collaborating AI agents comply with security policies, respect information access restrictions, and avoid unauthorized use of sensitive information. The project includes tools for visualizing agent interactions and analyzing safety-related behaviors. Supported by the AI Guardians project, the research was featured on MBC and is publicly available on GitHub, contributing to efforts to build safer, more reliable, and accountable AI systems.
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