Conference paper Open Access

Artistic Potentials of Fallacies in AI Research

Döbereiner, Luc

This paper seeks to identify aesthetically productive problems. Based on Melanie Mitchell's much-discussed 2021 paper "Why AI is Harder Than We Think," it seeks to outline four areas of artistic potential that are related to the four "fallacies" in AI research identified by Mitchell. These are underlying assumptions of AI research that have contributed to overconfident predictions. The paper uses these fallacies as a point of departure to discuss the relation of AI research and artistic practice, not from a utilitarian or problem-solving point of view, but rather in order to identify how frictions and fallacies disclose aesthetically productive areas. The paper seeks to demonstrate how these fallacies are not only shortcomings with regard to our understanding of intelligence, but how they are actually at the core of what constitutes aesthetics and artistic practice.

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