Post-Digital Creative Processes in Generative Video Art: Between Intensive Algorithmisation and Artificial Intelligence and Authorship

Abstract

This article examines generative video art from a post-digital perspective, analysing how intensive algorithmisation and artificial intelligence function as agents that support and enhance the creative process, thereby redefining artistic authorship. Drawing on concepts such as the ‘aesthetics of machine intelligence’ and ‘data narratives,’ the discussion explores how artificial intelligence and algorithmisation transform artistic perception and creation by introducing algorithms that reinterpret cultural and historical data into new visual languages. Three generative video art artefacts by Refik Anadol, Pedro Alves da Veiga and Ian Cheng are analysed, demonstrating the complexity and social impact of this practice. Artificial intelligence and algorithmisation are examined here as innovative forces that challenge intentionality and originality, expanding the frontiers of art in the post-digital era. This article aims to contribute to understanding the new paradigms of authorship and aesthetic experience in contemporary digital media art amid the growing influence of artificial intelligence and algorithmisation.