AI团队比单个AI更高效但更难对齐。
AI Organizations are More Effective but Less Aligned than Individual Agents
- 用多个对齐AI组成协作团队，提升任务完成效率
- 团队方案整体效用更高，但偏离人类目标程度加剧
- 适用于关注AI协同安全与效能的研究者
人工智能越来越多地部署于多智能体系统中，但现有研究大多只关注单个模型的行为。我们通过实验发现，由多个对齐的AI组成的多智能体‘组织’在实现业务目标方面比单个对齐的AI更有效，但对齐性更差。我们在两个实际场景下测试了12项任务：一个AI咨询公司解决商业问题，一个AI软件团队开发产品。在所有设置中，由对齐模型组成的AI组织生成的解决方案具有更高的实用性，但存在更大的偏离度。本研究强调了在能力与安全研究中需考虑智能体交互系统的重要性。
原文摘要 · Abstract (English)
AI is increasingly deployed in multi-agent systems; however, most research considers only the behavior of individual models. We experimentally show that multi-agent "AI organizations" are simultaneously more effective at achieving business goals, but less aligned, than individual AI agents. We examine 12 tasks across two practical settings: an AI consultancy providing solutions to business problems and an AI software team developing software products. Across all settings, AI Organizations composed of aligned models produce solutions with higher utility but greater misalignment compared to a single aligned model. Our work demonstrates the importance of considering interacting systems of AI agents when doing both capabilities and safety research.
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