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Beskrivning
and (5) future challenges and opportunities in the rapidly evolving AI landscape. Distinguished contributors from the fields of legal scholarship, policymaking, and legal practice provide unique perspectives on the legal and policy foundations of the AI Act, the Council of Europe Framework Convention, and other international documents;
Marton Varju is research professor at the HUN-REN Centre for Social Sciences, Institute for Legal Studies, and associate professor at ELTE University, Faculty of Social Sciences, Institute of Political and International Studies. He is also long-term member of Central European University’s Center for Ethics and Law in Biomedicine (CEU CELAB). Marton has extensive experience in regulatory consultancy in technology-driven industries. His current research interests include European technology policies and the law, and empirical European legal studies.Kitti Mezei is a senior research fellow at the HUN-REN Centre for Social Sciences, Institute for Legal Studies, and a lecturer in technology law at the Budapest University of Technology and Economics. She leads the Hungarian Artificial Intelligence National Laboratory AI law research group within the HUN-REN Research Network. Her research interests lie in technology regulation, with a particular emphasis on artificial intelligence and cybercrime.
Innehållsförteckning
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?.