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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.
List of contents
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.
About the author
Dr. Sabine Wiesmüller is the managing director of the Bodensee Innovation Cluster and researcher as well as lecturer at Zeppelin University (Germany), particularly focusing on responsible innovation, AI governance, and business ethics. In both, her work at the innovation cluster and her role as a researcher, she is interested in the effects of AI adoption and exponential technologies on the economy and society and new avenues for their suitable governance.
