Algorithms and Law

Martin Ebers is Associate Professor of IT Law at the University of Tartu and a permanent research fellow at the Humboldt University of Berlin. He is also the co-founder and president of the Robotics & AI Law Society (RAILS). Along with researching and teaching, he has been active in the field of legal consulting for many years. His main areas of expertise and research are IT law, private law, insurance law and European law. Professor Ebers is the author of Rights, Remedies and Sanctions in EU Private Law (2015). Susana Navas is Full Professor for Private Law at the Autonomous University of Barcelona. Her diverse fields of interest range from child law and copyright law to European private law. Recently, she has also devoted herself to the study of digital law and is a co-author of Inteligencia artificial Tecnología Derecho (2017). Professor Navarro has enjoyed research stays at both European and North American institutions and has been a key speaker at conferences and workshops across Europe.

• Preface; 1. Robotics and Artificial Intelligence: The Present and Future Visions Sami Haddadin and Dennis Knobbe; 2. Regulating AI and Robotics: Ethical and Legal Challenges Martin Ebers; 3. Regulating Algorithms – How to De-Mystify the Alchemy of Code? Mario Martini; 4: Automated Decision-Making under Article 22 GDPR: Towards a More Substantial Regime for Solely Automated Decision-Making Diana Sancho; 5. Robot Machines and Civil Liability Susana Navas; 6. Extra-contractual Liability for Wrongs Committed by Autonomous Systems Ruth Janal; 7. Control of Algorithms in Financial Markets – the Example of High Frequency Trading Gerald Spindler; 8. Creativity of Algorithms and Copyright Susana Navas; 9. 'Wake Neutrality' of Artificial Intelligence Devices Brian Subirana, Renwick Bivings and Sanjay Sarma; 10. The (envisaged) Legal Framework of Commercialisation of Digital Data within the EU Björn Steinrötter.

'There is a shift in the academic debate from the 'if' to the 'how' AI should and could be regulated. This volume covers a broad range of fields, from robotics to copyrights and financial services, all united in one question: what would a regulatory framework that allows us to de-mystify algorithms and get to grips with the commercialisation of data look like? The regulatability of AI is the key issue of our times. The ten contributions provide dense up-to-date information and enticing inspiration in the search for societally acceptable solutions.' Hans W. Micklitz, European University Institute