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Competence center for human-centric, trustworthy AI
The concept of human-centric AI emphasizes the importance of designing AI technologies with a focus on benefiting and empowering humans. It involves considering ethical considerations, transparency, fairness, privacy, and accountability in AI development and deployment.
See our new white paper on...
...Artificial General Intelligence Unravelled: A Cockpit to Navigate IT-Capabilities, Regulatory Constraints, Business Processes and User Experience...AI-based emotion analyses in virtual meetings – Which factors influence employee acceptance?
Directors:
Prof. Dr. Alexander Richter (VU Wellignton)
Prof. Dr. Florian Möslein (University of Marburg)
Prof. Dr. Michael Leyer (University of Marburg)
Prof. Dr. Sabrina Schneider (Management Center Innsbruck)
Prof. Dr. Christin Seifert (University of Marburg)
Members:
Lilian Do Khac (University of Marburg)
Dr. Johannes Wichmann (University of Marburg)
Wieland Müller (University of Rostock)
Oliver Behn (University of Marburg)
Dr. Aysegül Engin (University of Vienna)
Dr. Tanja Auge (Universität Regensburg)
Prof. Dr. Xiaowen Hu (Queensland University of Technology)
Dr. Hongmin Yan (Griffith University)
Dustin Liebetrau (University of Marburg)
Prof. Dr. Eva Bittner (University of Hamburg)
Ferry Nolte (Continental AG)
Ishara Kandane Arachchige Don (VU Wellington)
Daria Soroko (University of Hamburg)
Lucas Memmert (University of Hamburg)
Sebastian Kuhn (University of Marburg)
Prof. Dr. Mary Tate (VU Wellington)
Chloe Latto (VU Wellington)
Recent Publications:
Behn, O., Leyer, M., Iren, D. (2024), Employees’ acceptance of AI-based emotion analytics from speech on a group level in virtual meetings, Technology in Society, 76, 102466.
Bär, F., Leyer, M. (2023), YUMA – An AI Planning Agent for composing IT Services from Infrastructure-as-Code Specifications, Proceedings of the 56th Hawaii International Conference on System Sciences, IEEE Computer Society, Los Alamitos, S. 1053-1063.
Tajabadi, M., Grabenhenrich, L., Ribeiro, A., Leyer, M., Heider, D. (2023), Sharing data with shared benefits: An AI perspective, Journal of Medical Internet Research, 25, e47540.
Gesk, T., Leyer, M., (2022), Artificial intelligence in public services: When and why citizens accept its usage, Government Information Quarterly, 39. Jg., Nr. 3, Artikel 101704.
Leyer, M., Schneider, S. (2021), Decision augmentation and automation with artificial intelligence. Threat or opportunity for managers?, Business Horizons, 64. Jg., Nr. 5, S. 711-724.
Schneider, S., Leyer, M. (2019), ME or Information Technology? Adoption of artificial intelligence in the delegation of personal strategic decisions, Managerial and Decision Economics, 40. Jg., Nr. 3, S. 223-231
Trustworthy AI Lab
Also see the associated project: Trustworthy AI Lab
AI Tools for Research Workflow in Academia
Looking for AI tools to improve your research workflow? Artificial intelligence offers a variety of ways to enrich the research process. Have a look at this collection of useful AI Tools:
AI Tools for Research Workflow in Academia
This ressource is maintained by Prof. Niels Van Quaquebeke.