Track 18

Design, Management, and Impact of AI-based systems


The rapid developments in the field of artificial intelligence (AI), the availability of more and more computing power, and the exponentially growing data volumes enable the use of AI-based systems in many new application scenarios. AI-based systems are ubiquitous and people interact with them in both private and business contexts. We ask Alexa in the morning what the weather will be like today, Google Maps navigates us to work, predictive maintenance systems at work tell us that machines need to be serviced, and in the evening, Netflix suggests a movie that matches our preferences. In all these application scenarios, we interact with an AI-based system. Beyond these examples, AI-based systems offer a wide range of opportunities for the entire economy and especially for those companies that manage to exploit the economic potential of AI.


In contrast to the multitude of opportunities that AI-based systems offer to individuals, companies, or society at large, several risks and potential downsides must be considered. While AI-based systems are becoming increasingly complex and will soon be superior to humans in some areas (e.g., medical diagnostics), researchers and the public are also increasingly concerned with potential drawbacks from ethical, legal, and social perspectives. Many of the current AI-based systems and their underlying algorithms are not transparent enough to detect or prevent possible misuse or systematic errors. The opacity of AI-based systems can lead to users being knowingly or unknowingly discriminated or manipulated. AI-based systems must therefore be designed and implemented with special care to prevent undesired effects or misuse.

Potential topics

This track would like to invite the WI community to submit contributions on the individual, organizational, and societal level to the design, management, and impact of AI-based systems. It is open to all methods and types of contributions that address the following or related topics:

  • AI-based assistance systems (for end users and companies)
  • Systems based on hybrid and extended AI
  • Cooperation between humans and AI-based systems (Human-in-the-Loop)
  • Development, design, and implementation of AI-based systems
  • Trust and distrust in AI-based systems (Trustworthy AI)
  • Explainability and transparency of AI-based systems
  • Operational and strategic effects of AI-based systems in companies
  • Disadvantages of AI-based systems: biases, distortions, discrimination, and rejection
  • Practical applications of AI-based systems in organizations (e.g., AI and product innovation, AI and customer care, AI and marketing, AI and process optimization)
  • Economic potential of AI-based systems (e.g., new business models through the use of AI-based systems)
  • Ethical, legal, and social implications of AI-based systems

Prof. Dr. Alexander Benlian

Technische Universität Darmstadt

Alexander Benlian is a professor of Information Systems & E-Services at Technische Universität Darmstadt. His research is primarily focused on the digital transformation of organizations, algorithmic management in platform-based business models, and AI-based systems. His research has been published in leading academic and practitioner-oriented journals such as MIS Quarterly, Journal of Management Information Systems, Journal of Service Research, Entrepreneurship Theory and Practice, MIS Quarterly Executive and Business & Information Systems Engineering, among others. He currently serves as Senior Editor in the editorial board of the European Journal of Information Systems.

Dr. Benedikt Berger

Ludwig-Maximilians-Universität München

Benedikt Berger is an assistant professor at the Institute for Information Systems and New Media at Ludwig-Maximilians-Universität München (LMU) in Munich, Germany, where he also received his Ph.D. in Management. He holds a M.Sc. in Management from the University of Mannheim, Germany and has been a visiting scholar at HEC Montréal, Canada. His research addresses digital business, products, and services as well as AI-based information systems. His work has been published in the Journal of Management Information Systems, Electronic Markets, Business & Information Systems Engineering and in various international conference proceedings.

Jun.-Prof. Dr. Stefan Morana

Saarland University

Stefan Morana is Junior Professor for Business Administration, in particular Digital Transformation and Information Systems at Saarland University. He studied computer science at the University of Applied Sciences Darmstadt and received his PhD in Information Systems at the University of Mannheim. His research focuses on the design of interactive systems and methodological aspects of design-oriented research. His work has been published in the Journal of the Association for Information Systems, Decision Support Systems, International Journal of Human-Computer Studies, Business & Information Systems Engineering, and Communications of the Association for Information Systems, among others.

Prof. Dr. Martin Wiener

Technische Universität Dresden

Martin Wiener is a Professor of Information Systems and Business Engineering at TU Dresden, as well as an Affiliated Researcher at the University of Erlangen-Nürnberg and the Stockholm School of Economics (SSE) Institute for Research in Sweden. His research focuses on the control and governance of digital transformation projects, algorithmic management of workers, and data-driven business models, and has been published in top-tier IS journals, including Information Systems Research, Journal of Management Information Systems, and MIS Quarterly. Martin currently serves as Associate Editor for the Information Systems Journal, and on the Editorial Review Board of the Journal of the Association for Information Systems and Information & Management. He also serves as Co-Program Chair for the 2022 European Conference on Information Systems (ECIS) in Timișoara, Romania.

Associate Editors


  • Martin Adam (Technische Universität Darmstadt)
  • Philipp Ebel (Universität St. Gallen)
  • Andreas Fink (Helmut-Schmidt-Universität/UniBw Hamburg)
  • Burkhardt Funk (Leuphana Universität Lüneburg)
  • Benjamin van Giffen (Universität St. Gallen)
  • Thomas Hess (Ludwig-Maximilians-Universität München)
  • Peter Hofmann (Universität Bayreuth)
  • Andreas Holzinger (Medizinische Universität Graz)
  • Christian Janiesch (Technische Universität Dortmund)
  • Ekaterina Jussupow (Universität Mannheim)
  • Wolfgang König (Goethe-Universität Frankfurt)
  • Mathias Kraus (Friedrich-Alexander Universität Erlangen-Nürnberg)
  • Niklas Kühl (Karlsruher Institut für Technologie)
  • Sascha Lichtenberg (Technische Universität Dresden)
  • Cristina Mihale-Wilson (Goethe-Universität Frankfurt)
  • Nicolas Pröllochs (Justus-Liebig-Universität Giessen)
  • Jana Rehse (Universität Mannheim)
  • Matthias Schumann (Georg-August-Universität Göttingen)
  • Patrick Zschech (Friedrich-Alexander Universität Erlangen-Nürnberg)