The Cambridge Handbook of Responsible Artificial Intelligence
Interdisciplinary Perspectives

Table of Contents

Introduction
Part I. Foundations of Responsible AI:
1. Artificial Intelligence – Key Technologies and Opportunities Wolfram Burgard
2. Automating Supervision of AI Delegates Jaan Tallinn and Richard Ngo
3. Artificial Moral Agents – Conceptual Issues and Ethical Controversy Catrin Misselhorn
4. Risk Imposition by Artificial Agents – The Moral Proxy Problem Johanna Thoma
5. Artificial Intelligence and its Integration into the Human Lifeworld Christoph Durt
Part II. Current and Future Approaches to AI Governance:
6. Artificial Intelligence and the Past, Present and Future of Democracy Mathias Risse
7. The New Regulation of the European Union on Artificial Intelligence – Fuzzy Ethics Diffuse into Domestic Law and Sideline International Law Thomas Burri
8. Fostering the Common Good – An Adaptive Approach Regulating High-Risk AI-Driven Products and Services Thorsten Schmidt and Silja Voeneky
9. China's Normative Systems for Responsible AI – From Soft Law to Hard Law Weixing Shen and Yun Liu
10. Towards a Global Artificial Intelligence Charter Thomas Metzinger
11. Intellectual Debt – With Great Power Comes Great Ignorance Jonathan Zittrain
Part III. Responsible AI Liability Schemes:
12. Liability for Artificial Intelligence – The Need to Address both Safety Risks and Fundamental Rights Risks Christiane Wendehorst
13. Forward to the Past – A Critical Evaluation of the European Approach to Artificial Intelligence in Private International Law Jan von Hein
Part IV. Fairness and Non-Discrimination in AI Systems:
14. Differences that Make a Difference – Computational Profiling and Fairness to Individuals Wilfried Hinsch
15. Discriminatory AI and the Law – Legal Standards for Algorithmic Profiling Antje von Ungern-Sternberg
Part V. Responsible Data Governance:
16. Artificial Intelligence and the Right to Data Protection Ralf Poscher
17. Artificial Intelligence as a Challenge for Data Protection Law – And Vice Versa Boris Paal
18. Data Governance and Trust – Lessons from South Korean Experiences Coping with COVID-19 Haksoo Ko, Sangchul Park and Yong Lim
Part VI. Responsible Corporate Governance of AI Systems:
19. From Corporate Governance to Algorithm Governance – Artificial Intelligence as a Challenge for Corporations and their Executives Jan Lieder
20. Autonomization and Antitrust – On the Construal of the Cartel Prohibition in the Light of Algorithmic Collusion Stefan Thomas
21. Artificial Intelligence in Financial Services – New Risks and the Need for More Regulation? Matthias Paul
Part VII. Responsible AI Healthcare and Neurotechnology Governance:
22. Medical AI – Key Elements at the International Level Fruzsina Molnár-Gábor and Johanne Giesecke
23. 'Hey Siri, How Am I Doing?' – Legal Challenges for Artificial Intelligence Alter Egos in Healthcare Christoph Kroenke
24. Neurorights – A Human-Rights Based Approach for Governing Neurotechnologies Philipp Kellmeyer
25. AI-Supported Brain-Computer Interfaces and the Emergence of 'Cyberbilities' Boris Essmann and Oliver Mueller
Part VIII. Responsible AI for Security Applications and in Armed Conflict:
26. Artificial Intelligence, Law and National Security Ebrahim Afsah
27. Morally Repugnant Weaponry? Ethical Responses to the Prospect of Autonomous Weapons Alex Leveringhaus
28. On 'Responsible AI' in War – Exploring Preconditions for Respecting International Law in Armed Conflict Dustin A. Lewis.

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