Institute of Digital Communication Environments
Dauerhafte URI für die Sammlunghttps://irf.fhnw.ch/handle/11654/13
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Publikation Maschinelles Lernen(transcript, 16.08.2024) Schubbach, Arno; Arnold, Florian; Bernhardt, Johannes C.; Feige, Daniel Martin; Schröter, Christian04A - Beitrag SammelbandPublikation Kant's theory of the sublime and the visual arts(Aesthetica Edizioni, 2023) Clewis, Robert R.; Schubbach, Arno03 - SammelbandPublikation Why not exactly? Revisiting the alleged arguments against the artistic sublime in Kant's “critique of the aesthetic power of Judgment”(Aesthetica Edizioni, 2023) Schubbach, Arno; Clewis, Robert R.; Schubbach, ArnoThe debate about whether, according to Kant, there can be an artistic sublime often fails to clarify the relationship of the “Analytic of the Sublime” to the “Analytic of the Beautiful” and to the short discourse on art of the Critique of the Power of Judgment (KU, § 43 to § 59). Therefore, three types of arguments are often conflated, which I would like to propose to distinguish as precisely as possible: 1. Arguments that cast doubt on the possibility of aesthetic judgments with respect to works of art in general; 2. arguments that specifically put into question the experience of the beautiful in the arts; 3. Arguments questioning the artistic sublime. Kant addresses the first two types of arguments in his ingenious argumentation of why we can experience works of art as beautiful at all. However, they are often readily understood as arguments against the possibility of an artistic sublime, which Kant, however, hardly discusses as such. By distinguishing these types of arguments, I want to pinpoint what exactly, according to Kant, stood in the way of the possibil-ity of an artistic sublime – and to explore the possibility of artistic strategies to overcome these obstacles.04A - Beitrag SammelbandPublikation AI and Art. Arguments for Practice(transcript, 12/2023) Schubbach, Arno; Thiel, Sonja; Bernhardt, Johannes C.Recent advances in the computer generation of pictures using methods and programs from artificial intelligence research, or, more precisely, machine learning, have once again raised the question of whether computers can make art. Based on A. Michael Noll’s early experiments with computer art from the 1960s, I argue by contrast that even the latest tools cannot do without human work and can only be part of an artistic practice thanks to this work. Rather than asking whether machines can make art, we should therefore develop creative practices in which it is possible to leverage the potential of new techniques for design and art.04A - Beitrag Sammelband