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»

The Philosophy of Data Science: Data Science Governance

Conference 10 & 11 June 2022
in-person and online

programme

Conference

The conference “The Philosophy of Data Science: Data Science Governance” brings together researchers from ethics, political philosophy, and philosophy of science to discuss questions surrounding the governance of data science.

The guiding question is how to conduct, design and regulate data science for the public good. This topic is explored by looking at a range of different domains and their respective challenges. Which tailor-made solutions might be required and against which legal, moral and epistemic norms and ideals can they be justified?

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Previous events

Regelwerke rund um Künstliche Intelligenz

Workshop, 18 February 2022 | more about this event»

all ZEVEDI topics»