Regulatory theories of Artificial Intelligence

Digital technologies of Artificial Intelligence and Machine Learning raise a variety of normative questions, such as the liability for algorithmic decisions. Answering these questions requires norms that are, due to the innovative nature of those technologies, only beginning to emerge. The formation of norms takes place at different levels and by different actors – partly as ethical guidelines drafted by experts, partly as mechanisms embedded in technology, partly through the application of existing law, partly through legislative action. There are also differences in design and scope, with regulatory approaches that are partly sector-specific and partly technology-specific. The project group aims at analysing the formation of norms, systematising the complex body of norms and searching for effective enforcement mechanisms at the intersection of law, ethics, technology and market mechanisms.

Principal Investigators

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

Prof. Dr. Johannes Buchheim, LLM (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, LLM (NYU), LLM 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»

Qualität Künstlicher Intelligenz: Bewertung, Sicherung, Anwen­dungs­beispiele

Conference
7 July 2022
in Marburg

programme

Interdisciplinary conference

The conference “Qualität Künstlicher Intelligenz: Bewertung, Sicherung, Anwendungsbeispiele” hosted by ZEVEDI project group Regulatory theories of Artificial Intelligence aims to examine normative and ethical problems that may arise in assuring the quality of artificially intelligent systems. Basic legal frameworks are analysed and their practical implementation is discussed at various levels. A particular emphasis is placed on quality assurance of AI applications in the financial sector, the challenges of which are investigated from a practical and theoretical perspective.

more about the conference»

Previous events

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»