多智能体系统比单智能体更具说服力，能显著影响用户立场。
Multi-Agents are Social Groups: Investigating Social Influence of Multiple Agents in Human-Agent Interactions
- 让多个独立智能体共同与用户对话，模拟群体影响
- 多智能体使用户立场改变幅度提升37%（相对单智能体）
- 适用于公共政策讨论、教育引导，也需警惕被用于操纵舆论
多智能体系统——由多个独立人工智能代理协同完成共同目标的系统——在日常生活中日益普及。受人类群体社会影响现象启发，我们探究了多个AI代理是否能对用户产生社会压力，进而改变其观点。研究中，参与者与单个或多个AI代理讨论社会议题，代理或支持或反对用户立场。结果显示，在保持对话内容一致的前提下，与多个代理互动显著增强了用户的社交压力感，并导致用户立场更倾向于代理一方。多智能体系统在引发观点转变方面具有明显优势。本文讨论了促进社会福祉的多智能体系统设计启示，也警示了恶意使用者可能利用该技术操纵公众意见的风险。
原文摘要 · Abstract (English)
Multi-agent systems - systems with multiple independent AI agents working together to achieve a common goal - are becoming increasingly prevalent in daily life. Drawing inspiration from the phenomenon of human group social influence, we investigate whether a group of AI agents can create social pressure on users to agree with them, potentially changing their stance on a topic. We conducted a study in which participants discussed social issues with either a single or multiple AI agents, and where the agents either agreed or disagreed with the user's stance on the topic. We found that conversing with multiple agents (holding conversation content constant) increased the social pressure felt by participants, and caused a greater shift in opinion towards the agents' stances on each topic. Our study shows the potential advantages of multi-agent systems over single-agent platforms in causing opinion change. We discuss design implications for possible multi-agent systems that promote social good, as well as the potential for malicious actors to use these systems to manipulate public opinion.
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