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Ethical management of human-AI interaction : Theory development review
Heyder, Teresa; Passlack, Nina; Posegga, Oliver (2023): Ethical management of human-AI interaction : Theory development review, in: The journal of strategic information systems : incorporating International Information Systems, Amsterdam: Elsevier, Jg. 32, Nr. 3, S. 101772, 1–50, doi: 10.1016/j.jsis.2023.101772.
Faculty/Chair:
Author:
Title of the Journal:
The journal of strategic information systems : incorporating International Information Systems
ISSN:
0963-8687
1873-1198
Publisher Information:
Year of publication:
2023
Volume:
32
Issue:
3
Pages:
Language:
English
Abstract:
AI-based technologies have changed the nature of the symbiosis between humans and AI, and so strategic management of human-AI interaction in organizations requires deeper ethical considerations. Aligning AI with human values requires a systematic understanding of the ethical management of human-AI interaction. We conduct a theoretical review, from a sociotechnical perspective, and analyze ethical management of human-AI interaction through the lens of sociomateriality. Our systematic approach helps explain and clarify the interdependencies between two ethical perspectives – duty and virtue ethics – in sociotechnical systems. We also provide a theoretical framework that leads to seven avenues for future research.
GND Keywords: ; ; ;
Künstliche Intelligenz
Ethik
Mensch-Maschine-Kommunikation
Metaanalyse
Keywords: ; ; ; ;
Artificial intelligence
Ethics
Human-AI interaction
Theoretical review
Sociomateriality
DDC Classification:
RVK Classification:
Type:
Article
Activation date:
October 19, 2023
Versioning
Question on publication
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https://fis.uni-bamberg.de/handle/uniba/91326