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Publications

Publications

Recent publication

Editors: Andreas Sudmann | Anna Echterhölter | Markus Ramsauer |
Fabian Retkowski | Jens Schröter | Alexander Waibel

Beyond Quantity

Research with Subsymbolic AI

How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which masters problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI be configured to address them adequately?

More information on the publisher’s website

Recent publication

Editors: Anna Tuschling | Andreas Sudmann | Bernhard J. Dotzler

with contributions from members of the HiAICS-Research Group.

ChatGPT und andere „Quatschmaschinen“

Gespräche mit Künstlicher Intelligenz

In an experimental format, the editors present initial commented conversations with AI language models. They provide insights into dialogic scenes that capture an ongoing transformation of technology and peculiarities of machine learning. The collection aims, through witty, eerie, and more or less intelligent dialogues between humans and machines, to document a media-historical transition into a new era of ubiquitous AI.

More information on the publisher’s website

Full Grant (since 2022)

  • Echterhölter, A., Schröter, J. & Sudmann, A.  (2025). How is Artificial Intelligence Changing Science? Research in the Era of Learning Algorithms. In Isabell Baumann, Till Dembeck, Georg Mein, Johannes Pause, Christoph Purschke (Eds.), Humanities and the Rise of AI. Bielefeld, New York: Transcript / Columbia Press.
  • Echterhölter, A. (2025). Daten und Datenkolonialismus zur Einführung. Junius.
  • Retkowski, F., Züfle, M., Sudmann, A., Pfaum D., Niehues, J., & Waibel, A. (2025). From Speech to Summary: A Comprehensive Survey of Speech Summarization. https://doi.org/10.48550/arXiv.2504.08024
  • Retkowski, F., Sudmann, A., & Waibel, A. (2025). The AI Co-Ethnographer: How Far Can Automation Take Qualitative Research? NLP4DH. https://doi.org/10.48550/arXiv.2505.00012
  • Echterhölter, A. (2025). Metrologien. Zur Wissenschaftsgeschichte einer Infrastruktur. Wallstein.
  • Schröter, J. (2024). AI, Automation, Creativity, Cognitive Labor. In E. Voigts et al. (Eds.), Artificial Intelligence – Intelligent Art? Human-Machine Interaction and Creative Practice (pp. 33–42). Transcript.
  • Retkowski, F. ,& Waibel, A. (2024). From Text Segmentation to Smart Chaptering: A Novel Benchmark for Structuring Video Transcriptions. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Vol 1: Long Papers), (pp. 406–419). St. Julian’s, Malta: Association for Computational Linguistics. https://aclanthology.org/2024.eacl-long.25/
  • Sudmann, A. (2024). Muster im Wetterablauf. Künstliche Intelligenz wandelt die Klimaforschung. c’t Heft 8, pp. 130-132.
  • Ramsauer, M., & Çaglar, A (2024). Making the Convert Speak: The Production of Truth and the Apparatus of Conversion in Austria. In E. Öztürk, & L Rose (Eds.), Asylum and Conversion from Islam to Christianity in Europe: Interdisciplinary Approaches. Bloomsbury.
  • Echterhölter, A., Lorenz, C.-F., & Richter, T. (2024). Apparate. Über Regierungsverfahren und Algorithmisierung. J.B. Metzler.
  • Huber, C., Dinh, T. A., Mullov, C., Pham, N. Q., Nguyen, T. B., Retkowski, F., Constantin, S., Ugan, E. Y., Liu, D., Li, Z., Koneru, S., Niehues, J., & Waibel, A. (2023). End-to-End Evaluation for Low-Latency Simultaneous Speech Translation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (pp. 12–20). Singapore: Association for Computational Linguistics. 10.18653/v1/2023.emnlp-demo.2
  • Retkowski, F. (2023). The Current State of Summarization. In A. Sudmann, A. Echterhölter, M. Ramsauer, F. Retkowski, J. Schröter, & A. Waibel (Eds.), Beyond Quantity (pp. 291-312). Bielefeld: transcript Verlag. https://doi.org/10.14361/9783839467664-016
  • Echterhölter, A., Ramsauer, M., Retkowski, F., Schröter, J., Sudmann, A., & Waibel, A. (Eds). (2023). Beyond Quantity. Research with Subsymbolic AI. Transcript. https://doi.org/10.14361/9783839467664
  • Sudmann, A., & Dippel, A. (2023). AI ethnography. In S. Lindgren (Eds.), Handbook of Critical Studies of Artificial Intelligence (pp. 826-844). Edward Elgar. https://doi.org/10.4337/9781803928562
  • Sudmann, A. (2023). Zum Einsatz von KI als Methode und Werkzeug in der Medienwissenschaft. In S. Stollfuß, L. Niebling, & F. Raczkowski (Eds.), Handbuch Digitale Medien und Methoden. Springer VS. https://doi.org/10.1007/978-3-658-36629-2_16-2
  • Dotzler, B., Sudmann, A., & Tuschling, A. (2023). ChatGPT und andere Quatschmaschinen. Gespräche mit Künstlicher Intelligenz. transcript.
  • Sudmann, A. (2023). Imaginationsräume der KI. In S. Grampp, P. Podrez, & N. Wiedenmann (Eds.), Medien Zeiten. Interdependenzen (pp. 347-362). Springer. https://doi.org/10.1007/978-3-658-38688-7
  • Sudmann, A. (2023). Anfang und Ende der Spekulation. In: V. Bachmann, M. Fleig, C. Heibach, S. Ottmann, & S. Roesler-Keilholz (Eds.), Staunen. Rechnen. Rätseln (pp. 209-218). transcript. https://doi.org/10.14361/9783839462621
  • Schröter, J. (2023). The AI Image, the Dream and the Statistical Unconscious. Image. The Interdisciplinary Journal of Image Sciences, 37(1), 112-120. https://doi.org/10.1453/1614-0885-1-2023-15460
  • Schröter, J. (2023). Imaginaries of Machine Vision. Navigationen. Zeitschrift für Medien- und Kulturwissenschaften, 23(1), 93-108. https://doi.org/10.25819/ubsi/10297
  • Echterhölter, A. (2023). Zur Klassifikation von Menschen und Mineralien. In Rosol, C., Rispoli, G., Klingan, K., & Hoffmann-Walbeck, N. (Eds.), Evidenzensembles (pp. 15-34). Spector Books.
  • Sudmann, A. (2022). On Computer Creativity. Machine Learning and the Arts of Artificial Intelligences. In J. Horáková, M. Kupková, & M. Szücsová (Eds.), The Black Box Book. Archives and Curatorship in the Age of Transformation of Art Institutions (pp. 264-280). Masaryk University Press. https://doi.org/10.5817/CZ.MUNI.M280-0225-2022-1

Planning Grant (since 2019)

  • Echterhölter, A., Schröter, J., & Sudmann, A. (2021). How is Artificial Intelligence Changing Science? Research in the Era of Learning Algorithms. https://doi.org/10.33767/osf.io/28pnx
  • Echterhölter, A. (2021). Formative encounters: Colonial data collection on land and law in German Micronesia. Science in Context, 34(4), 527-552. https://doi.org/10.1017/S0269889723000042
  • Echterhölter, A., & Midena, D. (2021). Surveying Rules: Extending the Enquete to Colonial Contexts via the German Commission for the Study of Native Law, 1907–1930. In C. Corbould, C. Greenhalgh, & A. Warwick (Eds.), Surveys and Society: Legacies of the Social Survey, 1919–2019. Berghahn Books.
  • Nguyen, T.-S., Stueker, S., & Waibel, A. (2021). Super-Human Performance in Online Low-latency Recognition of Conversational Speech. ArXiv. http://arxiv.org/abs/2010.03449
  • Schröter, J. (2020). Digitale Medien und Methoden. Medienarchäologie der digitalen Medien. Open-Media-Studies-Blog der Zeitschrift für Medienwissenschaft. https://zfmedienwissenschaft.de/node/1532
  • Sudmann, A. (2020). Künstliche neuronale Netzwerke als Black Box. In P. Klimczak, C. Petersen, & S. Schilling (Eds.), Maschinen der Kommunikation: Interdisziplinäre Perspektiven auf Technik und Gesellschaft im digitalen Zeitalter (pp. 189–199). Springer Fachmedien. https://doi.org/10.1007/978-3-658-27852-6_10
  • Ernst, C., & Schröter, J. (2020). Zukünftige Medien: Eine Einführung. Springer. https://doi.org/10.1007/978-3-658-30059-3
  • Echterhölter, A. (2020). Shells and Order: Questionnaires on Indigenous Law in German New Guinea. Journal for the History of Knowledge, 1(1), Article 17. https://doi.org/10.5334/jhk.21
  • Sudmann, A. (2019). On the Media-Political Dimension of Artificial Intelligence. Deep Learning as a Black Box and OpenAI. In A. Sudmann (Ed.), The Democratization of Artificial Intelligence. Net Politics in the Era of Learning Algorithms (pp. 223–244). transcript. https://doi.org/10.25969/mediarep/13536
  • Ernst, C., Kaldrack, I., Schröter, J., & Sudmann, A. (2019). Künstliche Intelligenzen. Einleitung in den Schwerpunkt. Zeitschrift Für Medienwissenschaft, 11(2), 10-19. http://dx.doi.org/10.25969/mediarep/12616
  • Ernst, C., Schröter, J., & Sudmann, A. (2019). AI and the Imagination to Overcome Difference. spheres: Journal for Digital Cultures, 5.
    http://spheres-journal.org/ai-and-the-imagination-to-overcome-difference/
  • Sudmann, A. (Ed.). (2019). The Democratization of Artificial Intelligence. Net Politics in the Era of Learning Algorithms. transcript. https://doi.org/10.14361/9783839447192