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Sampling Safe Futures: Multimodal Trajectory Planning for Personalized Safety in Anthropomorphic AI
Anthropomorphic artificial intelligence systems increasingly remember personal details, display empathy, and are engaged with as social counterparts, creating forms of risk that emerge from the evolution of the user-system relationship over time. Existing safeguards largely operate at the level of i
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