Is There Any Social Principle for LLM-Based Agents?
Jitao Bai, Simiao Zhang, Zhonghao Chen

TL;DR
This paper advocates for developing social science principles tailored to LLM-based agents, emphasizing their unique social interactions beyond traditional human-centered alignment.
Contribution
It introduces the idea of establishing dedicated social science frameworks specifically for LLM-based agents, moving beyond existing alignment approaches.
Findings
Highlights the importance of social principles for LLM agents
Proposes a new direction for agent-oriented social science
Encourages tailored social frameworks for AI agents
Abstract
Focus on Large Language Model based agents should involve more than "human-centered" alignment or application. We argue that more attention should be paid to the agent itself and discuss the potential of establishing tailored social sciences for agents.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling
