AI & Finance

Duration: August 2021 until January 2023

Finance is one of the classic fields of application for Artificial Intelligence. Its broad spectrum ranges from applications in algorithmic trading to credit scoring and chatbots. AI applications are associated with the promise of enormous efficiency gains, for example in terms of sifting through large amounts of data, recognising patterns and predicting future developments. In some situations, inclusion is enhanced, for example when pattern recognition identifies previously undiscovered potential. At the same time, there are significant risks, ranging from data protection and the risk of discrimination to monetary sovereignty.

Against this background, the project group dealt with scoring, investment advice, virtual currencies and the development of a data hub. It promoted interdisciplinary debate at the interface of law, information systems, computer science and political science. The result is not only a series of high-ranking specialist publications in the disciplines involved. With an eye on facilitating dialogue, a number of highly productive events were held, some of them purely academic, others involving business and regulatory perspectives. Conference proceedings, for example in the form of an interdisciplinary conference report, provide further information. The central transfer output of the project group is the Data and AI Literacy Hub, an online learning platform that allows people to develop the necessary skills to navigate the data-driven world and apply AI techniques in individual projects.

Principal Investigators

Prof. Dr. Katja Langenbucher, Goethe-Universität Frankfurt a. M. | spokesperson | more information
Prof. Dr. Alexander Benlian, Technische Universität Darmstadt | deputy | more information

Prof. Dr. Carsten Binnig, Technische Universität Darmstadt | more information
Prof. Dr. Roland Broemel, Goethe-Universität Frankfurt a. M | more information
Prof. Dr. Matthias Goldmann, EBS, Universität Wiesbaden | more information
Prof. Dr. Oliver Hinz, Goethe-Universität Frankfurt a. M. | more information
Prof. Dr. Florian Möslein, Dipl.-Kfm., LL.M. (London), Philipps-Universität Marburg | more information
Prof. Dr. Sebastian Omlor, LL.M. (NYU), LL.M. Eur., Philipps-Universität Marburg | more information
Prof. Dr. Oscar A. Stolper, Philipps-Universität Marburg | more information
Prof. Dr. Andreas Walter, Justus-Liebig-Universität Gießen | more information

Data & AI Literacy Hub

The Data and AI Literacy Hub is a guided learning platform that offers individual learning paths for different backgrounds and skill levels. It enables to develop necessary skills to navigate the data-driven world and apply AI techniques in custom projects. Whether one has no prior knowledge or wants to enhance existing expertise, guided courses offer tailored content and resources to help improve one’s skills.

The Data and AI Literacy Hub was launched as part of ZEVEDI project group AI & Finance and is jointly run and developed with the National High Performance Computing Center for Computational Engineering Science (NHR4CES).

Go to Data and AI Literacy Hub