Algorithms and Law
About this book
Algorithms permeate our lives in numerous ways, performing tasks that until recently could only be carried out by humans. Artificial Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars, analyzing medical data, and evaluating and executing complex financial transactions - often without active human control or supervision. Algorithms also play an important role in determining retail pricing, online advertising, loan qualification, and airport security. In this work, Martin Ebers and Susana Navas bring together a group of scholars and practitioners from across Europe and the US to analyze how this shift from human actors to computers presents both practical and conceptual challenges for legal and regulatory systems. This book should be read by anyone interested in the intersection between computer science and law, how the law can better regulate algorithmic design, and the legal ramifications for citizens whose behavior is increasingly dictated by algorithms.
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Information
Table of contents
- Cover
- Half-title
- Title page
- Copyright information
- Contents
- List of Figures and Tables
- Notes on Contributors
- Preface
- Acknowledgments
- 1 Robotics and Artificial Intelligence: The Present and Future Visions
- 2 Regulating AI and Robotics: Ethical and Legal Challenges
- 3 Regulating Algorithms: How to Demystify the Alchemy of Code?
- 4 Automated Decision-Making under Article 22 GDPR: Towards a More Substantial Regime for Solely Automated Decision-Making
- 5 Robot Machines and Civil Liability
- 6 Extra-Contractual Liability for Wrongs Committed by Autonomous Systems
- 7 Control of Algorithms in Financial Markets: The Example of High-Frequency Trading
- 8 Creativity of Algorithms and Copyright Law
- 9 ''Wake Neutrality'' of Artificial Intelligence Devices
- 10 The (Envisaged) Legal Framework for Commercialisation of Digital Data within the EU: Data Protection Law and Data Economic Law As a Conflicted Basis for Algorithm-Based Products and Services
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