Business and technology are intricately connected through logic and design. They are equally sensitive to societal changes and may be devastated by scandal. Cooperative multi-robot systems (MRSs) are on the rise, allowing robots of different types and brands to work together in diverse contexts. Generative artificial intelligence has been a dominant topic in recent artificial intelligence (AI) discussions due to its capacity to mimic humans through the use of natural language and the production of media, including deep fakes. In this article, we focus specifically on the conversational aspects of generative AI, and hence use the term Conversational Generative artificial intelligence (CGI). Like MRSs, CGIs have enormous potential for revolutionizing processes across sectors and transforming the way humans conduct business. From a business perspective, cooperative MRSs alone, with potential conflicts of interest, privacy practices, and safety concerns, require ethical examination. MRSs empowered by CGIs demand multi-dimensional and sophisticated methods to uncover imminent ethical pitfalls. This study focuses on ethics in CGI-empowered MRSs while reporting the stages of developing the MORUL model.

翻译：商业与技术通过逻辑与设计紧密相连，二者对社会变迁同样敏感，且可能因丑闻而遭受重创。协作式多机器人系统（MRS）正蓬勃发展，使不同品牌和类型的机器人能够在多样化场景中协同工作。生成式人工智能（Generative AI）凭借其通过自然语言模仿人类并生成包括深度伪造在内的媒体内容的能力，已成为近期人工智能讨论的核心议题。本文聚焦于生成式AI的对话维度，故采用术语"对话式生成人工智能"（CGI）。与MRS类似，CGI在跨行业流程变革及人类商业运作模式转型方面具有巨大潜力。从商业视角看，仅协作式MRS本身即因潜在利益冲突、隐私实践及安全问题而亟需伦理审视；而由CGI赋能的MRS则需运用多维复杂方法揭示迫在眉睫的伦理陷阱。本研究聚焦CGI赋能MRS的伦理问题，同时报告MORUL模型的开发阶段。