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This paper presents key challenges and future research directions in the security and privacy of agentic AI, based on a horizon-scanning exercise with thirty international experts. It identifies emerging risks from increased AI autonomy and permissions, including prompt injection attacks and malicious applications.
The article introduces the live discussion of the Augmented Mind podcast about the paper 'Reflections and New Directions for Human-Centered Large Language Models', emphasizing that AI development should shift from capability benchmarks to human flourishing and long-term well-being.