用多智能体大模型生成伦理需求草案，提升系统设计的伦理对齐度。
Multi-Agent LLMs as Ethics Advocates for AI-Based Systems
- 引入伦理倡导智能体，自动分析系统描述并提出伦理问题。
- 在两个案例中捕获研究人员30分钟访谈中的多数伦理需求，还发现新问题。
- 适合需要快速生成伦理需求的开发者和需求工程师使用。
将伦理融入需求获取过程对构建符合伦理的系统至关重要。尽管人工获取伦理需求有效，但需多方利益相关者参与，常因时间和资源限制难以实现，且优先级较低。本研究提出一种在多智能体大模型框架中引入伦理倡导智能体的方案，该智能体基于系统描述进行批判并提供伦理意见。通过两个不同场景的案例研究评估，该框架成功捕捉了研究人员在30分钟访谈中识别出的大多数伦理需求，并发现了若干新增相关需求。然而，也暴露出生成结果的可靠性问题，强调在这一敏感领域仍需人类反馈。我们认为该工作有助于推动伦理在需求工程中的广泛应用，最终实现更符合伦理的产品。
原文摘要 · Abstract (English)
Incorporating ethics into the requirement elicitation process is essential for creating ethically aligned systems. Although eliciting manual ethics requirements is effective, it requires diverse input from multiple stakeholders, which can be challenging due to time and resource constraints. Moreover, it is often given a low priority in the requirements elicitation process. This study proposes a framework for generating ethics requirements drafts by introducing an ethics advocate agent in a multi-agent LLM setting. This agent critiques and provides input on ethical issues based on the system description. The proposed framework is evaluated through two case studies from different contexts, demonstrating that it captures the majority of ethics requirements identified by researchers during 30-minute interviews and introduces several additional relevant requirements. However, it also highlights reliability issues in generating ethics requirements, emphasizing the need for human feedback in this sensitive domain. We believe this work can facilitate the broader adoption of ethics in the requirements engineering process, ultimately leading to more ethically aligned products.
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