Trust, Responsibility, and Digital Governance: Regulation of AI and Blockchain Technology from a Capacity-Based Perspective
Bielefeld: transcript Verlag (2025), 229 pp.
ISBN 978-3-8394-1097-4 (pdf), 978-3-8376-7802-4 (print)
CC BY
"Numerous ethical guidelines and regulatory frameworks have been developed to assess and shape digital systems. However, these efforts often rest on the dubious assumption that individuals and organisations possess the necessary capacities to assess such systems in terms of justice, reliability, and other normative standards – especially given the growing complexity and corresponding opacity of many digital models. This issue is therefore of central importance to both legal and ethical debates surrounding AI and digital systems in general. The contributors to this volume propose a new approach to digital governance to enhance the capacity to evaluate and shape digital systems." (Publisher description)
Introduction: Trust, Responsibility, and Digital Governance / Sebastian Bücker, Marcus Düwell, Andreas Kaminski, Michael Leyer, 9
I. CAPACITIES THAT ENABLE DIGITAL GOVERNANCE
Trust and Responsibility. Digital Systems from a Capacity-Based Perspective / Andreas Kaminski, Marcus Düwell, Philipp Richter, 19
Precautions for Medical Decision Support by LLMs / Sebastian Bücker, Nico Formánek, 43
Individual and Organisational Capacities for Assessing “Trustworthiness” of AI Systems in Healthcare Settings. The Crucial Role of Structural Empowerment / Oliver Behn, Marc Jungtäubl, Michael Leyer, Mascha Will-Zocholl, 61
II. GOVERNANCE THAT ENABLES UNDERSTANDING
Right to Explanation of AI Decisions / Elena Dubovitskaya, Gregor Bosold, 91
Cross-Chain Governance / Florian Möslein, Michael Birkner, 113
Blockchain-Based Governance of Financial Markets. Examining the SEC’s Approach to Building Trust in Centralized and Decentralized Crypto Exchanges / Sebastian Omlor, Hans Wilke, 133
III. ENABLING CONDITIONS FOR TRUST AND RESPONSIBILITY
Ethics and Regulation of AI Systems in Medicine. The Example of Cancer Detection / Sebastian Bartsch, Marcus Düwell, Jan-Hendrik Schmidt, Alexander Benlian, 153
Trust in AI: A Unified Approach / Andreas Kaminski, 171
Explainable AI as a Component of Building Trust. The Case of Regulating Creditscoring / Katja Langenbucher, 189
“Trust” and “Trustworthiness” in the AI Act / Lucia Franke, Benjamin Müller, 207
I. CAPACITIES THAT ENABLE DIGITAL GOVERNANCE
Trust and Responsibility. Digital Systems from a Capacity-Based Perspective / Andreas Kaminski, Marcus Düwell, Philipp Richter, 19
Precautions for Medical Decision Support by LLMs / Sebastian Bücker, Nico Formánek, 43
Individual and Organisational Capacities for Assessing “Trustworthiness” of AI Systems in Healthcare Settings. The Crucial Role of Structural Empowerment / Oliver Behn, Marc Jungtäubl, Michael Leyer, Mascha Will-Zocholl, 61
II. GOVERNANCE THAT ENABLES UNDERSTANDING
Right to Explanation of AI Decisions / Elena Dubovitskaya, Gregor Bosold, 91
Cross-Chain Governance / Florian Möslein, Michael Birkner, 113
Blockchain-Based Governance of Financial Markets. Examining the SEC’s Approach to Building Trust in Centralized and Decentralized Crypto Exchanges / Sebastian Omlor, Hans Wilke, 133
III. ENABLING CONDITIONS FOR TRUST AND RESPONSIBILITY
Ethics and Regulation of AI Systems in Medicine. The Example of Cancer Detection / Sebastian Bartsch, Marcus Düwell, Jan-Hendrik Schmidt, Alexander Benlian, 153
Trust in AI: A Unified Approach / Andreas Kaminski, 171
Explainable AI as a Component of Building Trust. The Case of Regulating Creditscoring / Katja Langenbucher, 189
“Trust” and “Trustworthiness” in the AI Act / Lucia Franke, Benjamin Müller, 207
