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

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Rousi, Rebekah, Samani, Hooman, Mäkitalo, Niko, Vakkuri, Ville, Linkola, Simo, Kemell, Kai-Kristian, Daubaris, Paulius, Fronza, Ilenia, Mikkonen, Tommi, Abrahamsson, Pekka
Natura: Preprint
Pubblicazione: 2024
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866910299938881536
author Rousi, Rebekah
Samani, Hooman
Mäkitalo, Niko
Vakkuri, Ville
Linkola, Simo
Kemell, Kai-Kristian
Daubaris, Paulius
Fronza, Ilenia
Mikkonen, Tommi
Abrahamsson, Pekka
author_facet Rousi, Rebekah
Samani, Hooman
Mäkitalo, Niko
Vakkuri, Ville
Linkola, Simo
Kemell, Kai-Kristian
Daubaris, Paulius
Fronza, Ilenia
Mikkonen, Tommi
Abrahamsson, Pekka
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2401_09473
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Business and ethical concerns in domestic Conversational Generative AI-empowered multi-robot systems
Rousi, Rebekah
Samani, Hooman
Mäkitalo, Niko
Vakkuri, Ville
Linkola, Simo
Kemell, Kai-Kristian
Daubaris, Paulius
Fronza, Ilenia
Mikkonen, Tommi
Abrahamsson, Pekka
Computers and Society
Artificial Intelligence
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.
title Business and ethical concerns in domestic Conversational Generative AI-empowered multi-robot systems
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2401.09473