Business and ethical concerns in domestic Conversational Generative
AI-empowered multi-robot systems
- URL: http://arxiv.org/abs/2401.09473v1
- Date: Fri, 12 Jan 2024 11:05:32 GMT
- Title: Business and ethical concerns in domestic Conversational Generative
AI-empowered multi-robot systems
- Authors: Rebekah Rousi, Hooman Samani, Niko M\"akitalo, Ville Vakkuri, Simo
Linkola, Kai-Kristian Kemell, Paulius Daubaris, Ilenia Fronza, Tommi
Mikkonen, Pekka Abrahamsson
- Abstract summary: Generative artificial intelligence has been a dominant topic in recent artificial intelligence (AI) discussions.
We focus specifically on the conversational aspects of generative AI, and hence use the term Conversational Generative artificial intelligence (CGI)
From a business perspective, cooperative MRSs alone, with potential conflicts of interest, privacy practices, and safety concerns, require ethical examination.
- Score: 6.162568614020117
- License: http://creativecommons.org/licenses/by-sa/4.0/
- Abstract: 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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