The Challenges of Artificial Intelligence for Law in Europe
| Tác giả của công ty: | |
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| Tác giả khác: | , |
| Tóm tắt: | X, 321 p. 4 illus., 3 illus. in color. text |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Phiên bản: | 1st ed. 2025. |
| Loạt: | Data Science, Machine Intelligence, and Law,
6 |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/978-3-031-86813-9 |
| Định dạng: | Điện tử Sách |
Mục lục:
- Chapter 1: The Challenges of Artificial Intelligence in the European Legal Space
- Chapter 2: Navigating Uncharted Waters – Human Rights and Artificial Intelligence in Emerging International Regulation
- Chapter 3: The Principle of Fairness in International AI Law in the Making
- Chapter 4: Technology Sovereignty and AI Regulation in the EU: Regulatory Strategy and the Paradox of Choice
- Chapter 5: The Ontological Congruency in the EU’s Data Protection and Data Processing Legislation: The (Formally) Risk-Based and (Actually) Value/Rights-Oriented Method of Regulation in the AI Act
- Chapter 6: Liability for Damage Caused by AI – The AILD and Existing Liability Concepts
- Chapter 7: Artificial Intelligence in the Criminal Justice System: Exploring Risks and Opportunities Through the Lens of the European Union’s AI Act
- Chapter 8: Algorithmic Decision-Making in Migration and Security in the EU: Challenges in Ensuring Effective Legal Remedies
- Chapter 9: How Algorithmic Policing Challenges Fundamental Rights Protection in the EU: Lessons from the United Kingdom
- Chapter 10: How to Regulate the Use of Algorithms in Sentencing? De Lege Ferenda Postulates
- Chapter 11: The FemTech Jacquerie: Situating Co-Creation for Efficient Stewardship in Women’s Health vis-a-vis the European Union Artificial Intelligence Act
- Chapter 12: Copyright Evaluation for Content Generated by Artificial Intelligence
- Chapter 13: The Data Protection Issues of Smart Contracts as Possible Tools for Automated Decision Making
- Chapter 14: Towards the Conceptualisation of Big Data Ethics – An Attempt to Visualise Ethical Data Usage by Adopting the Big Data Ethical Matrix
- Chapter 15: Bias, Machine Learning and Liability – Can EU Policy Improve the Development of AI Systems?.