Richard Groß // Deep Learning as a Social Situation. Intelligent Infrastructures, Informational Emergence, and Communication

Table of contents

    1. Contact
    2. Research project: Deep Learning as a Social Situation. Intelligent Infrastructures, Informational Emergence, and Communication
    3. CV
    4. Research Interests
    5. Publications
    6. Presentations
    7. Teaching
    8. Organisation
    9. Projects

Contact

Schaufler Kolleg@TU Dresden © Happy Little Accidents

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Name

Richard Groß

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Contact Information
Organization Name

Schaufler Kolleg@TU Dresden

Schaufler Kolleg@TU Dresden

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Z21, Room 216b Zellescher Weg 21

01067 Dresden

Räume 205, 206, 216 + 217, jeweils a+b

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Technische Universität Dresden Schaufler Kolleg@TU Dresden

01062 Dresden

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Research project: Deep Learning as a Social Situation. Intelligent Infrastructures, Informational Emergence, and Communication

Discipline: Sociology
Doctoral advisors: Prof. Dr. Dominik Schrage and Juniorprofessorin Dr. Susann Wagenknecht

The dissertation project is based on the idea that the dissemination and implementation of deep learning-based technologies of artificial intelligence change the nature and social conditions of communication and knowledge. This process is accompanied by the emergence of new semantic forms as well as new modes of knowledge production and is an effect of the creation of technological infrastructures and their co-evolution with social structures. 

The goal of the project is to empirically research this current transformation of the conditions of communication and knowledge by means of a situational analysis (A. Clarke). The approach is based on the assumption that the implementation of neural networks into information processing changes knowledge production and communication. Richard’s research is in two different empirical scenarios, one in the natural sciences, and one in fine arts. His leading research question coming into the field is: How do we sociologically describe communication and knowledge production when there is human as well as technological intelligence involved in their making?

The background to this specific research is the fundamental theoretical question of the relationship of societal (infra-)structures and semantics. The assumption is that deep learning technologies become an essential element of societal infrastructure in the form of material technologies with significant effects in a wide range of fields. Following the ethnographic research, the dissertation will reflect on the implications for social theory and theory of society based on the empirical findings. 

CV

From 2018 Edition of Complete Works of Arnold Gehlen (Project Coordinator), TU Dresden
2018 Diploma degree (M.A.) in Sociology, Art History and Musicology, TU Dresden
2017/2018 Study Visit, New School for Social Research, The New School, New York
2013 - 2017 Research and Teaching Assistant, Institute of Sociology, TU Dresden

Research Interests

  • Social Theory
  • Theory of Society
  • Systems Theory
  • Sociology of Technology
  • Sociology of Time
  • Media Theory
  • Science and Technology Studies

Publications

Edited Volumes

  • Rehberg, K.-S., Groß, R., Schilling, H. & Schilling, N. (Hrsg.) (2022). Urmensch und Spätkultur sowie weitere Schriften zu einer Theorie der Institutionen. In: K.-S. Rehberg (Hrsg.), Arnold-Gehlen-Gesamtausgabe. Bd. 5. Frankfurt a.M.: Klostermann (will be published in early 2022)

Chapters in Edited Volumes

  • Groß, R. (2018), Ordnung, Chaos und gesellschaftliche Wirklichkeit. In: M. Amin, E. Niekrenz & F. Weißbach (Hrsg.), Chaos. Zur Konstitution, Subversion und Transformation von Ordnung (S. 75-96). Berlin: BWV

Journal Articles

  • Claus, J. & Groß, R. (2020). Einführung zu Alexander R. Galloway, Die kybernetische Hypothese. Internationales Jahrbuch für Medienphilosophie 6, 95-102

Translations

  • Rehberg, K.-S. (2021). Theodor W. Adorno and Arnold Gehlen: Conflict and Consensus in Aesthetics and Cultural Criticism. In: Samir Gandesha, Johan Hartle & Stefano Marino (Hrsg.), The “aging” of Adorno's Aesthetic Theory. Fifty Years Later (S. 239-262). Sesto San Giovanni: Mimesis International 
  • Galloway, A. (2020). Die kybernetische Hypothese. Internationales Jahrbuch für Medienphilosophie 6, S. 103-130 (mit Jakob Claus)

Other Publications

As Co-Editor:

  • Geßner, L., Groß, R. & Hausmann, C. (Hrsg.) (2020). Am Strand #4. Wie lautet der Mädchenname Ihrer Mutter? Leipzig
  • Geßner, L. & Groß, R. (Hrsg.) (2018). Am Strand #3. Irritation. Leipzig
  • Geßner, L. & Groß, R. (Hrsg.) (2017). Am Strand #2. Endlich Wolken. Leipzig

Articles

  • Groß, R. & Hausmann, C. (2020). Editorial. In Am Strand #4. Wie lautet der Mädchenname Ihrer Mutter? Leipzig, S. 1
  • Groß, R. & Hausmann, C. (2018). Editorial & Zu den Beiträgen. In Am Strand #3. Irritation. Leipzig, S. 2-14
  • Groß, R. (2017). Editorial. In Am Strand #2. Endlich Wolken. Leipzig, S. 3-4
  • Groß, R. (2015). Gespaltene Moderne. Georg Simmel und die Ambivalenz. In Am Strand #1. Leipzig, S. 29-37

Presentations

  • Visualization of Vector Space as Translational Relation-Making, 4S Meeting, Panel: „Optical Media: The Impact of Visual Technologies“, Toronto (online), 9.10.2021
  • Project Presentation at  Hamburg SummerSchool for Qualitative Methods: Non-Humans in Empirical Research, Hamburg Research Academy, 27.-28.9.2021
  • Presentation and Discussion with Christian Kosmas Mayer und Susann Wagenknecht on Simultaneities, Symposium „The First Second of Eternity“, Schaufler Lab@TU Dresden, 14.6.2021
  • Informationelle Emergenz als ästhetisches Ereignis, Conference „Hacking the Computable“, University of Music and the Performing Arts Stuttgart, January 2020
  • Über die Kommunikation von Menschen, Maschinen und künstlichen Bienen, „Schwarzmarkt für nützliches Wissen und Nicht-Wissen“, German Hygiene Museum, Dresden, December 2019
  • Communication by and with Learning Machines. Internal and External Views, Conference „The Society of Learning Algorithms“, University of Stuttgart, November 2019
  • Trust and Technology, Workshop Series „Observing Strange Attractors“, Organized by Theory Collective „Texture“, Berlin, May 2019
  • Algorithmische Rationalität und die Möglichkeiten ihrer Kritik. Zu einigen Implikationen der „kybernetischen Hypothese“ (w/ Jakob Claus), Presentation at Workshop „Zur Kritik algorithmischer Rationalität“, Institute for Critical Theory, Zürich University of the Arts, June 2019
  • The Cybernetic Hypothesis. Workshop with Alexander R. Galloway (mit Jakob Claus), texture, Manteuffelstraße 20, 01997 Berlin, December 2018
  • Post-Truth? Social Reality via Media and Technology, Annual Sociology Student Conference, The New School, New York, NY, March 2018
  • Das Chaos gesellschaftlicher Ordnung, Talk at „Institute for Chaos“. Berlin, August 2016

Teaching

  • Summer Semester 2021: Seminar “Sociology of Artificial Intelligence”, Institute of Sociology, TU Dresden

Organisation

  • Conference “Artificial Intelligence as a Concept in the Humanities and Social Sciences”, Schaufler Lab@TU Dresden, 1.-3.12.2021

Projects

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Lena Ludwig-Hartung
Last modified: Jan 03, 2022
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