Business and Ethical Concerns in Domestic Conversational Generative AI-Empowered Multi-robot Systems
Approved
Classifications
MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform
Publication channel information
Title of host publication
Software Business - 14th International Conference, ICSOB 2023, Proceedings
Editors of host publication
Hyrynsalmi, Sami; Münch, Jürgen; Smolander, Kari; Melegati, Jorge
ISBN (print)
978-3-031-53226-9
ISBN (electronic)
978-3-031-53227-6
Name of conference
International Conference on Software Business (ICSOB)
Title of journal/series
Lecture notes in business information processing
ISSN (print)
1865-1348
ISSN (electronic)
1865-1356
ISSN (linking)
1865-1348
Publisher
Springer
Publication forum ID
71106
Publication forum level
1
Publication appears in FT-list
No
SNIP-level of the publication
0.5
Country of publication
Switzerland
Internationality
Yes
Detailed publication information
Publication year
2024
Reporting year
2024
Journal/series issue number
500
Page numbers
173-189
DOI
10.1007/978-3-031-53227-6_13
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences
Keywords
Multi-robot cooperation; Business; Ethics; Conversational Generative AI; Large Language Models
Funding information
Funding information in the publication
We acknowledge the support of: the Research Council of Finland’s funding, Emotional Experience of Privacy and Ethics in Everyday Pervasive Systems [BUGGED] project (decision number 348391); School of Communication and Marketing, and Digital Economy, University of Vaasa; Faculty of Information Technology, University of Jyväkylä; Creative Computing Institute, University of Arts, London; Department of Computer Science, University of Helsinki; GPT Lab, Faculty of Information Technology and Communication, University of Tampere; and the AI Forum project funded by the Finnish Ministry of Education and Culture.
Funders
Funder
Academy of Finland
Name of funding
-
Funding decision
-
Source database ID
WoS ID
WOS:001264471100013
Scopus ID
2-s2.0-85188743480