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.
Author(s): Sabine Wiesmüller
Series: Relational Economics and Organization Governance
Publisher: Springer
Year: 2023
Language: English
Pages: 238
City: Cham
Foreword
Contents
Abbreviations
List of Figures
List of Tables
1 Introduction and Theoretical Foundations
1.1 Introductory Remarks
1.2 Theoretical Foundations: Governing Artificial Intelligence
1.2.1 Artificial Intelligence
1.2.2 Requirements for the Governance of Artificial Intelligence
1.2.3 The Theoretical Foundation of Artificial Intelligence Governance
References
2 A Theoretical Approximation to Artificial Intelligence as an Autopoietic System
2.1 Delimitation of Related Governance Disciplines
2.1.1 Related Governance Streams
2.1.2 Interim Conclusion
2.2 Conceptualisation of AI in the Relational Economics
2.2.1 Transaction Cost Economics Perspective on AI
2.2.2 Systems-Theoretical Perspective on AI
2.2.3 Interim Conclusion
2.3 Classification and Conceptualisation of Artificial Intelligence as an Autopoietic System
2.3.1 Title of the System
2.3.2 Categorisation of the System
2.3.3 Medium of the System ‘Artificial Intelligence’
2.3.4 Binary Coding of the System ‘Artificial Intelligence’
2.3.5 Guiding Difference of the ‘Artificial Intelligence System’
2.3.6 Outlook on Structural Couplings with ‘Artificial Intelligence System’
2.3.7 Contributions and Critical Reflection
References
3 Conceptualisation of the Relational Governance of Artificial Intelligence
3.1 Theoretical Foundation for Relational AI Governance
3.1.1 Delimitation of Wieland’s Relational Governance
3.1.2 Essential Concepts of Wieland’s Relational Governance
3.2 Governance Parameters of the Relational AI Governance
3.2.1 The Relational Transaction of Corporate AI Development & Adoption
3.2.2 Societal Informal Institutions of the Relational AI Governance
3.3 AI-Specific Adaptivity of the Governance Parameters
3.3.1 Governance Adaptivity in an Unregulated AI Market
3.3.2 Governance Adaptivity in a Partially Regulated AI Market
References
4 Contextualisation of Relational AI Governance in Existing Research
4.1 Research Design: Systematic Literature Review
4.1.1 Description of Selected Methodology
4.1.2 Execution of Systematic Literature Review for AI Governance
4.2 Results and Interpretation
4.2.1 Descriptive Data Analysis
4.2.2 Thematic Data Analysis
4.2.3 Discussion and Conclusion of Review Findings
References
5 Discussion and Conclusion
5.1 General Discussion
5.2 Theoretical Contribution and Practical Implications
5.2.1 Theoretical Contribution
5.2.2 Practical Implications
5.3 Limitations and Future Research
5.4 Conclusion
References
