AI MEETS LAW is the informal discussion group for all researchers and students at the University of Tübingen that share a special interest in the intersection of artificial intelligence and law.
We exchange views, discuss latest developements and current research projects. The platform and newsletters provide information on all ongoing activities. We meet on a regular basis.
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AI MEETS LAW
Eberhard Karls Universität Tübingen
This talk offers a novel perspective on the implications of increasingly autonomous and “black box” algorithms, within the ramification of algorithmic trading, for the integrity of capital markets. Artificial intelligence (AI) and particularly its subfield of machine learning (ML) methods have gained immense popularity among the great public and achieved tremendous success in many real-life applications by leading to vast efficiency gains. In the financial trading domain, ML can augment human capabilities in both price prediction, dynamic portfolio optimization, and other financial decision-making tasks. However, thanks to constant progress in the ML technology, the prospect of increasingly capable and autonomous agents to delegate operational tasks and even decision-making is now beyond mere imagination, thus opening up the possibility for approximating (truly) autonomous trading agents anytime soon. What are the significant risks autonomous algorithmic traders may involve? And what do these risks mean for the adequacy of existing regulatory frameworks and enforcement mechanisms?
Georg Ringe is Director of the Institute of Law & Economics at the University of Hamburg and Visiting Professor at the University of Oxford, Faculty of Law. His research focuses on questions of corporate law, capital markets, and financial regulation, from an interdisciplinary and comparative perspective. He is a Research Member with the European Corporate Governance Institute, Brussels, Fellow at the European Banking Institute, Frankfurt, and co-editor of the Journal of Financial Regulation. As Visiting Professor, he regularly teaches at leading academic institutions in North America, Europe, and Asia.
Blockchain technology challenges both established data monopolies and the traditional regulatory approach towards big data. The decentralization of information changes the paradigms that have governed data protection, platform regulation and antitrust in the past. In what way will blockchain impact on competition on digital markets, how will digital-platforms react, and how can the law ensure effective competition, fairness and data protection under new premises of decentralized information?
Big Data can be a valuable source of information for the substantiation of damages. Yet proof in court requires a certain degree of transparency and explainability of damages calculations. How can the use of artificial intelligence (AI) help to navigate through piles of data and at the same time reconcile with the procedural framework governing damages estimation in the courtroom?
On Thursday, June 24th 2021, an interdisciplinary symposium on Tübingen’s “AI MEETS LAW” platform took place in cooperation with the Carl Friedrich von Weizsäcker-Centre. It was dedicated to “Accepting Opaque Algorithms? Legitimate Use in a Situation of (Partial) Ignorance”.
4. March 2021, 18:00 p.m. – 19 p.m, Online Symposium
AI, especially with machine learning capabilities, provides a huge efficiency potential that can cater to a wide range of societal needs. Yet the progress of these technologies faces question on transparency, predictability, and accountability. Enshrining trustworthiness in AI will therefore bear significantly on its progress, the societal acceptance of AI-decision-making, and data processing. The symposium on trustworthy AI expounds on the various implications of this matter on the technological development, the political discourse, and ethics. These are the foundations of any AI-related regulatory regime.
Stefan Thomas, Professor at the Law Faculty, Head of the AI MEETS LAW platform, University of Tübingen
Sebastian Brüggemann, Attorney at Law, Lecturer on Internet and Data Protection Law at the Law Faculty, University of Tübingen (Panel Chair/Moderator)
Prof. Dr. Michèle Finck, LL.M.
Stiftungsprofessur der Carl-Zeiss-Stiftung
für das Recht der Künstlichen Intelligenz
Prof. Dr. Stefan Thomas
Lehrstuhl für Bürgerliches Recht, Handels- und Wirtschaftsrecht, Wettbewerbs- und Versicherungsrecht