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

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