AI and the Work of Patterns. Recognition Technologies, Classification, and Security

Gabriele Schabacher discusses in her essay the centrality of the notion of “pattern” for subsymbolic artificial intelligence. She asks what the power of patterns in contexts of cognition or application is, by distinguishing two ways of conceptualizing patterns, namely template and correlation. The reconstruction shows how these two forms are peculiarly blended in the horizon of AI technologies. The first example is the application domain of security research and how the blending of template and correlation works there. The focus will be on German pilot projects in Berlin and Mannheim that test the use of intelligent video analysis. Finally, Schabacher comments on the statistical creativity of AI image generators such as DALL-E, highlights four overarching aspects associated with the work of patterns of AI technologies, and describes their effects on scientific understanding, but also on culture and society in general. 
 

Schabacher, Gabriele: "AI and the Work of Patterns. Recognition Technologies, Classification, and Security", in: Andreas Sudmann, Anna Echterhölter, Markus Ramsauer, Fabian Retkowski, Jens Schröter und Alexander Waibel (Hg.): Beyond Quantity. Research with Subsymbolic AI, Bielefeld: Transcript 2023, S. 123-154. https://doi.org/10.1515/9783839467664-008