Regulatory theories of Artificial Intelligence

Duration: September 2021 until February 2023

Digital technologies of Artificial Intelligence and Machine Learning raise a variety of normative questions, which were explored by the project group Regulatory theories of Artificial Intelligence. The project group examined effective enforcement mechanisms at the intersection of law, ethics, technology and the market and suggested possible solutions. In this context, a guideline document to support the research ethics assessment of AI research projects by the working group “Research Ethics AI” deserves special attention.

Another focus of the project group was the investigation of algorithm-based discrimination. A study was conducted to analyse which criteria lead users to rate the decisions of Artificially Intelligent systems as “non-discriminatory”. This involved examining the importance of certification mechanisms, fairness criteria and the transparency of the system.

Another focus of the research was on certification and the different ways of assessing the quality of Artificial Intelligence. Against this background, the practical implementation of normative concepts such as risk and responsibility was researched with a view to the financial sector using a case study on so-called roboadvisors. With regard to the health sector, the requirements to be certified were elaborated.

Furthermore, the workshops and conferences organised by the project group should be highlighted, as they not only facilitated a fruitful interdisciplinary exchange involving academics, practitioners and policy-makers, but also a number of high-profile publications in various disciplines.

Principal Investigators

Prof. Dr. Florian Möslein, LL.M. (London), Philipps-Universität Marburg | spokesperson | more information
Prof. Dr. Anne Riechert, Frankfurt University of Applied Sciences | deputy | more information»

Prof. Dr. Johannes Buchheim, LL.M. (Yale), Philipps-Universität Marburg | more information»
Prof. Dr. Petra Gehring, Technische Universität Darmstadt | more information»
Prof. Dr. em. Christoph Hubig, Technische Universität Darmstadt | more information»
Prof. Dr. Martina Klausner, Goethe-Universität Frankfurt a. M. | more information»
Prof. Sebastian Köhler, Ph.D., Frankfurt School of Finance & Management | more information»
Prof. Dr. Katja Langenbucher, Goethe-Universität Frankfurt a. M. | more information»
Prof. Dr. Sebastian Omlor, LL.M. (NYU), LL.M. Eur., Philipps-Universität Marburg | more information»
Prof. Dr. Jella Pfeiffer, Justus-Liebig-Universität Gießen | more information»
Prof. Gregory Wheeler, Ph.D., Frankfurt School of Finance & Management | more information»
Prof. Dott. em. Roberto V. Zicari, Goethe-Universität Frankfurt a. M. | more information»

Research Ethics for AI Research Projects

Guidelines | 27 February 2023

Research ethics assessment of research projects is a common practice in science and is also provided by ethics committees at universities. In the field of so-called artificial intelligence, research in many disciplines has gained a new level of intervention. The potential scope of technological impacts, but also the ethics of the research process itself (subjects, data protection, quality assurance) is large in AI research and in research with AI.

Against this background, the guidelines offer support for the work of ethics committees at universities.

The document was first published in German on 2 November 2022.

“Wie reguliert man künstliche Intelligenz?”

Jurafuchs Podcast Episode 22 feat. Prof. Dr. Florian Möslein

Which legal problems arise when using Artificial Intelligence? How does the EU intend to regulate AI? Can companies be legally required to use AI? In the podcast of the Jurafuchs learning platform, Prof. Dr. Florian Möslein talks about legal challenges and framework conditions in the use and development of Artificial Intelligence.

Go to Episode 22 of Jurafuchs Podcast »


Fachdialog: Auswirkungen des EU AI Act auf die Banken- und Finanzbranche

Interdisciplinary workshop, 20 November 2023 | more about this workshop»

AI Act im Datenraum

Workshop, 2 March 2023 | more about this workshop»

Robo Advisory & Crypto Investments: Case Studies and Critical Reflections

Workshop, 7 November 2022 | more about this workshop»

Qualität Künstlicher Intelligenz: Bewertung, Sicherung, Anwendungsbeispiele

Interdisciplinary conference, 7 July 2022 | more about this conference»
Proceedings published in MMR – Zeitschrift für IT-Recht und Recht der Digitalisierung | open»
Proceedings published in ZBB – Zeitschrift für Bankrecht und Bankwirtschaft | open»
Proceedings published in JurPC – Internet-Zeitschrift für Rechtsinformatik und Informationsrecht | open»


Workshop, 22 June 2022 | more about this workshop»

The Philosophy of Data Science: Data Science Governance

Conference, 10 & 11 June 2022 | more about this conference»

Regelwerke rund um Künstliche Intelligenz

Workshop, 18 February 2022 | more about this event»

all ZEVEDI topics»