Law and Artificial Intelligence
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| ISBN13: | 9789462655225 |
| ISBN10: | 9462655227 |
| Kötéstípus: | Keménykötés |
| Terjedelem: | 569 oldal |
| Méret: | 235x155 mm |
| Súly: | 1033 g |
| Nyelv: | angol |
| Illusztrációk: | 18 Illustrations, black & white; 24 Illustrations, color |
| 906 |
This book provides an in-depth overview of what is currently happening in the field of Law and Artificial Intelligence (AI). From deep fakes and disinformation to killer robots, surgical robots, and AI lawmaking, the many and varied contributors to this volume discuss how AI could and should be regulated in the areas of public law, including constitutional law, human rights law, criminal law, and tax law, as well as areas of private law, including liability law, competition law, and consumer law.
Aimed at an audience without a background in technology, this book covers how AI changes these areas of law as well as legal practice itself. This scholarship should prove of value to academics in several disciplines (e.g., law, ethics, sociology, politics, and public administration) and those who may find themselves confronted with AI in the course of their work, particularly people working within the legal domain (e.g., lawyers, judges, law enforcement officers, public prosecutors, lawmakers, and policy advisors).
Bart Custers is Professor of Law and Data Science at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands.
Eduard Fosch-Villaronga is Assistant Professor at eLaw - Center for Law and Digital Technologies at Leiden University in the Netherlands.
Part I. Introduction.- Chapter 1. Humanizing Machines: Introduction and Overview.- Chapter 2. Artificial Intelligence versus Biological Intelligence: A Historical Overview.- Chapter 3. Disciplines of AI: An Overview of Approaches and Techniques.- Part II. Public Law.- Chapter 4. Discrimination by Machine-based Decisions: Inputs and Limits of Anti-discrimination Law.- Chapter 5. Women's Rights under AI Regulation - Fighting AI Gender Bias through a Feminist and Intersectional Approach.- Chapter 6. Diversity and Inclusion in Artificial Intelligence.- Chapter 7. Artificial Intelligence in Disability Employment: Incorporating a Human Rights Approach.- Chapter 8. Prosecuting Killer Robots: Allocating Criminal Responsibilities for Grave Breaches of International Humanitarian Law Committed by Lethal Autonomous Weapon Systems.- Chapter 9. The Risks of Social Media Platforms for Democracy: A Call for a New Regulation.- Chapter 10. Biased Algorithms and the Discrimination upon Immigration Policy.- Chapter 11. AI in Criminal Law: An Overview of AI Applications in Substantive and Procedural Criminal Law.- Chapter 12. Black-box Models as a Tool to Fight VAT Fraud.- Part III. Private Law.- Chapter 13. Bridging the Liability Gaps: Why AI Challenges the Existing Rules on Liability and How to Design Human-empowering Solutions.- Chapter 14. Contractual Liability for the Use of AI under Dutch Law and EU Legislative Proposals.- Chapter 15. Digging into the Accountability Gap: Operator?s Civil Liability in Healthcare AI-systems.- Chapter 16. Automated Care-taking and the Constitutional Rights of the Patient in an Aging Population.- Chapter 17. Generative AI and Intellectual Property Rights.- Chapter 18. The Role and Legal Implications of Autonomy in AI-driven Boardrooms.- Chapter 19. Artificial Intelligence and European Competition Law: Identifying Principles for a Fair Market.- Chapter 20. Personalised Shopping and Algorithmic Pricing: How EU Competition Law Can Protect Consumers inthe Digital World.- Part IV. Legal Practice.- Chapter 21. Lawyers? Perceptions on the Use of AI.- Chapter 22. AI and Lawmaking: An Overview.- Chapter 23. Ask the Data - A Machine Learning Analysis of the Legal Scholarship on Artificial Intelligence.- Chapter 24. The Study of Artificial Intelligence as Law.- Chapter 25. The Right to Mental Integrity in the Age of Artificial Intelligence Cognitive Human Enhancement Technologies.- Chapter 26. Regulating Artificial General Intelligence (AGI).- Chapter 27. Influence, Immersion, Intensity, Integration, Interaction: Five Frames for the Future of AI Law and Policy.- Index.
