cs.AI updates on arXiv.org 07月14日 12:08
Multi-Agent LLMs as Ethics Advocates in AI-Based Systems
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文章提出在多智能体语言模型环境下引入伦理倡导代理,以促进伦理要求的有效生成,并通过案例研究证明其有效性,强调人类反馈在敏感领域的必要性。

arXiv:2507.08392v1 Announce Type: new Abstract: 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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伦理要求 多智能体 语言模型 伦理倡导代理 要求工程
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