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VIDEOGRAPHIC PERFORMATIVITY AND GENERATIVE AI - AESTHETICS AND VIDEO ART IN PRESENT TIME

Abstract

The object of study of this project, on aesthetics and artificial intelligence, is videographic performativity in video art produced with generative AI tools. The objective is to investigate, map, describe and analyze aesthetic aspects and ethical limitations in a set of generative video arts produced between 2020 and 2024, aiming to point out the relationships between videographic performativity and the aesthetic possibilities derived from the use of generative AI tools in generative video arts, seeking the links between aesthetics and politics in digital art. The aim is to answer the following question: How do the technical operations of AI image editing and composition, resulting from the use of algorithmic programming and/or artificial intelligence (machine learning, deep learning), define the aesthetics of images in generative video arts and how do they enhance videographic performativity? To this end, an exploratory study will be carried out, with a qualitative approach, to investigate this little-known topic, seeking to understand it in light of Jacques Rancière's aesthetics and art politics and Don Ihde's concept of incorporation, authors of the basic foundation. The expected results are an overview of video art produced with generative AI tools between 2020 and 2024; the state of the art on videographic performativity in generative video art; and aesthetic analysis that will promote knowledge and discussion on Generative Art, Video Art, and AI, contributing to Literacy in AI applied to Digital Art. As a product, an interdisciplinary study involving Aesthetic Philosophy and Philosophy of Technology is also expected, circumscribed by their critical-reflexive character and contextualized by cultural and social aspects of an ongoing, current, and relevant phenomenon. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)