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.

• 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?.

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.

• 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?.

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.

• 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?.