Juristische Fakultät

AI MEETS LAW

Informal discussion group on the intersection of artificial intelligence and law

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.

Contact us

If you want to stay informed about our activities, meetings, hackathons, workshops and etc., subscribe to our newsletter.

To the newsletter

Questions? contact information below

Address:
AI MEETS LAW
Eberhard Karls Universität Tübingen
Juristische Fakultät
Geschwister-Scholl-Platz
D-72074 Tübingen

Upcoming Events

How to explain law to an algorithm?

Online Symposium, details follow

Explicability of AI decisions from the perspective of computer sciences and the law

Online Symposium, details follow

Previous events

AI in Antitrust Damages Litigation

On the Technical Challenges of Dealing with Big Data in a Legal Environment

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?

symposium report

 

 

Accepting Opaque Algorithms?

Legitimate Use in a Situation of (Partial) Ignorance

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”.

seminar report

Trustworthy AI

Determinants for Designing Ethical and Legally Compliant Solutions

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. 

symposium report

Andrea Martin, Leader of the IBM Watson Center in Munich and the EMEA Client Centers
Trustworthy AI: Notes on the dialogue between AI innovators and the political actors
In this presentation we will discuss what the future brings for AI and how we - all together - can ensure a trustworthy implementation of AI solutions. We will also briefly touch on the importance of interdisciplinary collaboration in the area of AI ethics, including the political players.

Matthias Biniok, Lead Architect IBM Watson and Leader Space Tech Division DACH
The design principles of trustworthy AI – from conception to market realization
Matthias provides an intuitive introduction into the topic of artificial intelligence (AI) including the difference between machine learning, deep learning, and AI, the history and current status of AI. The issue of trustworthiness of AI will be exemplified by case examples. He will also talk about applications of AI in legal tech, where trustworthiness can be pivotal.

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)


Contacts

Prof. Dr. Stefan Thomas
Lehrstuhl für Bürgerliches Recht, Handels- und Wirtschaftsrecht,
Wettbewerbs- und Versicherungsrecht
Universität Tübingen
Geschwister-Scholl-Platz
D-72074 Tübingen
stefan.thomasspam prevention@uni-tuebingen.de

 

Nils Model
Juristische Fakultät
Universität Tübingen
Geschwister-Scholl-Platz
D-72074 Tübingen
nils.modelspam prevention@uni-tuebingen.de