Beyond 100 Ethical Concerns in the Development of Robot-to-Robot Cooperation

Rousi, Rebekah; Vakkuri, Ville; Daubaris, Paulius; Linkola, Simo; Samani, Hooman; Mäkitalo, Niko; Halme, Erika; Agbese, Mamia; Mohanani, Rahul; Mikkonen, Tommi; Abrahamsson, Pekka

doi:10.1109/ithings-greencom-cpscom-smartdata-cybermatics55523.2022.00092

Cited by 2 publications

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Business and Ethical Concerns in Domestic Conversational Generative AI-Empowered Multi-robot Systems

Rousi,

Samani,

Mäkitalo

et al. 2024

Lecture Notes in Business Information Processing

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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.

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