Fellow PD Dr. Andreas Sudmann

PD Dr. Andreas Sudmann

Institute for Media Studies, Ruhr-University Bochum

  Fellow at CAIS from May to October 2017

 CAIS Report: Sudmann, Andreas (2017), Deep Learning als Black Box, OpenAI und das Internet.

Deep Learning as a black box, “OpenAI” and the Internet. On the media-political dimension of machine learning

Internet-based digital culture is increasingly shaped by modern technologies of artificial intelligence, with especially approaches of Deep Learning, which follow the functioning of biological brains, being in great demand today. As methods of machine learning, these approaches enable a computer to learn without being explicitly programmed for this purpose. This research project analyzes the media-political dimension of machine learning, and focuses on two aspects in particular. First, the question of how far Deep Learning represents a black-box technology, i.e. can be regarded as a system whose internal operations and functions are closed to human understanding. Second, the investigation of industrial-scientific projects (e.g. the non-profit research company OpenAI) that, at least according to their own claims, strive to democratize artificial intelligence. The project not only examines whether the claims are being met, but also analyzes the different media conditions of machine learning and locates them theoretically, historically and politically.

Main Research Topics
  • Media history of machine learning
  • Aesthetics and politics of popular and digital image media
  • Media criticism
  • Forms and methods of the documentary
Curriculum Vitae
  • Since 2017: Private lecturer at the Institute for Media Studies, University of Bochum
  • July 2016: Postdoctorate (Habilitation) and venia legendi in Media Studies at the University of Bochum
  • 2013-16: Head of the DFG subproject “Digital Seriality: On the Serial Aesthetics and Practice of Digital Games” at the John F. Kennedy Institute, Free University Berlin (together with Shane Denson)
  • Previous positions: Acting head of the Department of Media Studies at the Centre for Interdisciplinary Media Studies (ZiM) at the University of Göttingen, and research assistant at the Institute for Media, Information and Cultural Studies (IMIK) at the University of Regensburg
  • Sudmann, A. (2017). Serielle Überbietung. Zur televisuellen Ästhetik und Philosophie exponierter Steigerungen. Stuttgart: Metzler. (Im Erscheinen, zugleich Habilitationsschrift, Juli 2016).
  • Sudmann, A. (2006). Der Widerspenstigen Zähmung? Zur Politik der Repräsentation im gegenwärtigen US-amerikanischen Independent-Film. Bielefeld: transcript.
  • Sudmann, A. (2001). Dogma 95. Die Abkehr vom Zwang des Möglichen. Hannover: Offizin-Verlag.
  • Sudmann, A. & Engemann, C. (2017). Machine Learning. Medien, Infrastrukturen und Technologien der Künstlichen Intelligenz. Bielefeld: transcript.
  • Sudmann, A. & Denson, S. (2014). Digital Seriality. Journal for Computer Game Culture 8.1. Special-Issue. Online.
  • Sudmann, A. & Strobel, R. (2009). Film transnational und transkulturell. Europäische und amerikanische Perspektiven. Paderborn: Wilhelm Fink.
  • Sudmann, A. & Stockmann, R. (2008). Computer Games as a Sociocultural Phenomenon. Games Without Frontiers – War Without Tears. Basingstoke; New York: Palgrave Macmillan.