Computational Law Lab

 

Dr. Kristof Meding

Leader of the Independent Research Group “Computational Law" at the CZS Institute for Artificial Intelligence and Law“ and associated with our Cluster


Research Interests

Our research focuses on the interaction between Artificial Intelligence and Law. We aim to explore how machine learning methods can be applied in legal sciences. Initially, this involves researching Legal Tech applications, which can be particularly challenging due to restricted data availability. However, we also intend to go beyond purely the engineering of Legal Tech applications. We are interested in how we can use these data-driven methods to gain new insights into legal sciences. For example, many legal outcome prediction tools are available for various jurisdictions. It remains unclear whether these tools truly possess the capability for legal reasoning or if there are biases in the input data that the models use. Eventually, this leads to the design of computational causal inference tools to better understand existing legal reasoning in jurisprudence, which can also be applied in other scientific disciplines.

Additionally, we are fascinated by how we can meet legal requirements despite technical constraints. Currently, machine learning tools are regulated by different frameworks, such as the General Data Protection Regulation and the EU Artificial Intelligence Act. These frameworks require that machine learning tools process data fairly, transparently, and in an explainable manner. Fairness and transparency are also heavily discussed topics within the computer science and machine learning communities. However, there are many different definitions of fairness and various ways to explain an algorithmic decision. How, then, can we ensure that regulatory demands are fulfilled? Our research aims to bridge the gap between legal standards and technical capabilities.


Futher Information

For further information visit Kristof Meding's website

or his LinkedIn profile


About Kristof Meding

Kristof holds a Bachelor's degree in Physics and a Master's in Neural Information Processing. He completed his PhD and postdoctoral work in machine learning in the labs of Felix Wichmann (University of Tübingen) and Bernhard Schölkopf (Max Planck Institute for Intelligent Systems). Following his academic training, he worked for the Data Protection Authority in Baden-Württemberg. In addition to his expertise in machine learning, Kristof also holds a Bachelor's degree in Law from FernUniversität Hagen and passed the First German State Examination. Through his studies, he has developed a deep interest in the intersection of Machine Learning and Law.


Contact

Kristof Meding

CZS Institute for Artificial Intelligence and Law
Paul-Ehrlich-Straße 5
72072 Tübingen

+49 (0)7071 29-70788
kristof.medingspam prevention@uni-tuebingen.de