Business and ethical concerns in domestic Conversational Generative AI-empowered multi-robot systems

Rebekah Rousi, Hooman Samani, Niko Mäkitalo, Ville Vakkuri, Simo Linkola +5 more
1/12/2024
cs.CYcs.AI

No confident code implementation found for this paper.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{rousi2024business,
  title  = {Business and ethical concerns in domestic Conversational Generative AI-empowered multi-robot systems},
  author = {Rebekah Rousi and Hooman Samani and Niko Mäkitalo and Ville Vakkuri and Simo Linkola and Kai-Kristian Kemell and Paulius Daubaris and Ilenia Fronza and Tommi Mikkonen and Pekka Abrahamsson},
  year   = {2024},
  eprint = {2401.09473},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2401.09473v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2401.09473.svg)](https://codeofpaper.com/paper/2401.09473)

Discussion