What is it about?
The editorial introduces issue 21.1 of Technoetic Arts via a critical reflection on the artificial intelligence hype (AI hype) that emerged in 2022. Tracing the history of the critique of Large Language Models, the editorial underscores that there are substantial ethical challenges related to bias in the training data, copyright issues, as well as ecological challenges, which the technology industry has consistently downplayed over the years.
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Why is it important?
The editorial highlights the distinction between the current AI technology’s reliance on extensive pre-existing human-generated data for pattern recognition and the performative process inherent in art practice. Patterns of creative output can be replicated without a thorough understanding of underlying concepts. In contrast, the performative process of art practice, as explored through the conceptual frameworks of creativity by Noam Chomsky, Charles Sanders Peirce, and Roger T. Ames and discussed in previous publications by this editorial's author, creates concepts and continually ‘strives to extend itself towards the unknown.’
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This page is a summary of: Turning queries into questions: For a plurality of perspectives in the age of AI and other frameworks with limited (mind)sets, Technoetic Arts, August 2023, Intellect,
DOI: 10.1386/tear_00106_2.
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