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The Relational Governance of Artificial Intelligence : Forms and Interactions / by Sabine Wiesmüller
(Relational Economics and Organization Governance. ISSN:26629860)

Publisher (Cham : Springer Nature Switzerland : Imprint: Springer)
Year 2023
Edition 1st ed. 2023.
Authors *Wiesmüller, Sabine author
SpringerLink (Online service)

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OB00192943 Springer Economics and Finance eBooks (電子ブック) 9783031250231

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Material Type E-Book
Media type 機械可読データファイル
Size XV, 227 p. 34 illus., 4 illus. in color : online resource
Notes Chapter 1. Introduction and Theoretical Foundation -- Chapter 2. A Theoretical Approximation to Artificial Intelligence as an Autopoietic System -- Chapter 3. Conceptualisation of the Relational Governance of Artificial Intelligence -- Chapter 4: Contextualisation of Relational AI Governance in Existing Research -- Chapter 5. Discussion and Conclusion
This book addresses the development and adoption of artificial intelligence (AI) in and by companies and the consequent need for private sector AI regulation. Highlighting the challenges to responsible business conduct and considering stakeholder interests, it identifies ethical concerns and discusses AI standards and AI norms. Based on this needs-based analysis, the author chooses relational economics as a suitable approach to develop a theoretical AI governance model. In doing so, AI is conceptualized within relational economics in the form of an autopoietic system. Building on this theoretical contribution, the book specifies the governance adaptivity of the relational AI governance approach for an unregulated AI market and for the case of the pending E.U. AI regulation, and complements it with inductively conducted categories that summarize the main research streams in AI ethics
HTTP:URL=https://doi.org/10.1007/978-3-031-25023-1
Subjects LCSH:Evolutionary economics
LCSH:Institutional economics
LCSH:Corporate governance
LCSH:Business ethics
LCSH:Artificial intelligence
FREE:Institutional and Evolutionary Economics
FREE:Corporate Governance
FREE:Business Ethics
FREE:Artificial Intelligence
Classification LCC:HB90-99.722
DC23:330.1
ID 8000092094
ISBN 9783031250231

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