Tobias Matzner
How is Artificial Intelligence Changing Science?
Research in the Era of Learning Algorithms
Image by Sentavio – stock.adobe.com
Prof. Dr. Tobias Matzner
Cooperation Partner
Department of Media Studies
Paderborn University
E2.321
Pohlweg 55
33098 Paderborn
Germany
Tel: +49(0)5251 60 3275
Mail: tobias.matzner@upb.de
Web: http://www.tobiasmatzner.de/
Education
- PhD on philosophy, Karlsruhe Institute of Technology, Germany
- “Diplom” in computer science, Karlsruhe Institute of Technology, Germany
Research Experience
- Since 2018: Professor for “Media, algorithms, and society” at Paderborn University, Germany
- Visiting scholar at the New School for Social Research, New York, USA
- PostDoc researcher, International Center for Ethics in the Sciences and Humanities (IZEW), University of Tübingen, Germany
Relevant Publications
- Mann, M., & Matzner, T. (2019). Challenging algorithmic profiling: The limits of data protection and anti-discrimination in responding to emergent discrimination. Big Data & Society, 6(2), 2053951719895805. https://doi.org/10.1177/2053951719895805
- Matzner, T. (2016). The model gap: Cognitive systems in security applications and their ethical implications. AI & Society, 31(1), 95–102. https://doi.org/10.1007/s00146-013-0525-4
- Matzner, T. (2019). The Human Is Dead – Long Live the Algorithm! Human-Algorithmic Ensembles and Liberal Subjectivity. Theory, Culture & Society, 36(2), 123–144. https://doi.org/10.1177/0263276418818877
- Matzner, T. (2020). Plural, Situated Subjects in the Critique of Artificial Intelligence. In The Democratization of Artificial Intelligence (pp. 109–122). transcript Verlag. https://www.degruyter.com/document/doi/10.14361/9783839447192-007/html
- Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Häb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngomo, A.-C. N., Schulte, C., Wachsmuth, H., Wagner, P., & Wrede, B. (2020). Explanation as a social practice: Toward a conceptual framework for the social design of AI systems. IEEE Transactions on Cognitive and Developmental Systems (Early Access). IEEE Transactions on Cognitive and Developmental Systems. https://doi.org/10.1109/TCDS.2020.3044366
