Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents

1. 1Investigate the relationship between autonomy, personalization, and privacy concerns in LLM agents
2. 2Analyze how different levels of autonomy impact user trust and data sharing
3. 3Explore the design space of agent autonomy to identify opportunities for mitigating privacy concerns while maintaining personalization effectiveness

AI engineers and researchers benefit from understanding how autonomy in LLM agents influences user trust and privacy concerns, as it informs the design of more effective and trustworthy AI systems

💡 Autonomy in LLM agents can be designed to balance personalization and privacy concerns, influencing user trust and data sharing

🤖 Autonomy in LLM agents reshapes personalization's impact on privacy concerns & trust