Business and Ethical Concerns in Domestic Conversational Generative AI-Empowered Multi-robot Systems
Publiceringsår
2024
Upphovspersoner
Rousi, Rebekah; Samani, Hooman; Mäkitalo, Niko; Vakkuri, Ville; Linkola, Simo; Kemell, Kai Kristian; Daubaris, Paulius; Fronza, Ilenia; Mikkonen, Tommi; Abrahamsson, Pekka;
Abstrakt
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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Publikationstyp
Publikationsform
Artikel
Moderpublikationens typ
Konferens
Artikelstyp
Annan artikel
Målgrupp
VetenskapligKollegialt utvärderad
Kollegialt utvärderadUKM:s publikationstyp
A4 Artikel i en konferenspublikationPublikationskanalens uppgifter
Moderpublikationens namn
Moderpublikationens redaktörer
Hyrynsalmi, Sami; Munch, Jürgen; Smolander, Kari; Melegati, Jorge
Förläggare
Sidor
173-189
ISSN
ISBN
Publikationsforum
Publikationsforumsnivå
1
Öppen tillgång
Öppen tillgänglighet i förläggarens tjänst
Ja
Öppen tillgång till publikationskanalen
Helt öppen publikationskanal
Licens för förläggarens version
CC BY
Parallellsparad
Ja
Parallellagringens licens
CC BY
Övriga uppgifter
Vetenskapsområden
Data- och informationsvetenskap; Företagsekonomi
Nyckelord
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Publiceringsland
Schweiz
Förlagets internationalitet
Internationell
Språk
engelska
Internationell sampublikation
Ja
Sampublikation med ett företag
Nej
DOI
10.1007/978-3-031-53227-6_13
Publikationen ingår i undervisnings- och kulturministeriets datainsamling
Ja