TY - GEN
T1 - Business and Ethical Concerns in Domestic Conversational Generative AI-Empowered Multi-robot Systems
AU - Rousi, Rebekah
AU - Samani, Hooman
AU - Mäkitalo, Niko
AU - Vakkuri, Ville
AU - Linkola, Simo
AU - Kemell, Kai Kristian
AU - Daubaris, Paulius
AU - Fronza, Ilenia
AU - Mikkonen, Tommi
AU - Abrahamsson, Pekka
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Business
KW - Conversational Generative AI
KW - Ethics
KW - Large Language Models
KW - Multi-robot cooperation
UR - http://www.scopus.com/inward/record.url?scp=85188743480&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-53227-6_13
DO - 10.1007/978-3-031-53227-6_13
M3 - Conference contribution
AN - SCOPUS:85188743480
SN - 9783031532269
T3 - Lecture Notes in Business Information Processing
SP - 173
EP - 189
BT - Software Business - 14th International Conference, ICSOB 2023, Proceedings
A2 - Hyrynsalmi, Sami
A2 - Münch, Jürgen
A2 - Smolander, Kari
A2 - Melegati, Jorge
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Software Business, ICSOB 2023
Y2 - 27 November 2023 through 29 November 2023
ER -