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Liability for AI systems?

13. January 2021 um 10:15 - 11:45

This webinar is organzised by Waseda Universität Tokio and RCLIP and presented via Zoom!


The registration is exclusively available under the following link : please click here!


A new framework of liability regulations
concerning decisions of AI systems



Professor Dr. Herbert Zech

(Weizenbaum Institute and Humboldt University, Berlin)


Professor Masahiro Kurita

(Nagoya University)

Associate Professor Kensuke Murata

(Nagoya University)


Artificial intelligence (AI) and other emerging digital technologies are gradually transforming our societies and economies. Their rollout should be accompanied with safeguards sufficient to minimize the risk of harm that these technologies may cause. Such safeguards cannot completely exclude the possibility of damage resulting from the operation of these technologies. If this happens, victims will seek compensation. They typically do so on the basis of liability regimes under private law, in particular tort law, possibly in combination with insurance.

During the webinar, Prof. Herbert Zech will provide an overview on the status of European and German liability regimes, and will discuss whether or not such regime is sufficiently equipped to protect users of systems or devices that are relying on AI. Prof. Zech’s remarks will draw on the expert report that he submitted to the 2020 Annual Meeting of the Association of German Jurists (Deutscher Juristentag). Prof. Kurita and Associate Prof. Murata will compare the European developments with the situation in Japan, and will discuss whether or not Japanese liability rules are sufficient to appropriately regulate liability of AI suppliers.

This webinar is a cooperation between Waseda University School of Law, DAAD, DWIH, DJJV, LMU, CIPLITEC, Humboldt University Berlin, Weizenbaum Institute for the Networked Society – The German Internet Institute.

The webinar takes place on Wednesday, 13.01.2021, 10:15 – 11:45 am German time.


The registration is exclusively available under the following link : please click here.




13. January 2021
10:15 - 11:45
Event Category: