AI RESEARCH
Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents
arXiv CS.AI
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ArXi:2510.04465v2 Announce Type: replace-cross LLM agents require personal information for personalization in order to effectively act on users' behalf, but this raises privacy concerns that can discourage data sharing, limiting both the autonomy levels at which agents can operate and the effectiveness of personalization. Yet the expanded design space of agent autonomy also presents opportunities to shape these effects, which remain underexplored.