Art, technology, and creative processes: A new paradigm for artistic production

Abstract

This study explored the evolving relationship between contemporary art, artificial intelligence (AI), and neuroscience, challenging the anthropocentric notion of artistic creation as uniquely human. The research question to be analyzed was as follows: “How are algorithms reshaping the artist and creativity in the 21st century?” To address this question, the integration of concepts from art theory, neuroscience, and AI was considered. This examination explored the manner in which neuroimaging technologies and biometric algorithms were reshaping our understanding of creativity. The study examined the impact of scientific progress on artistic expression across different eras, ranging from the advent of psychoanalysis to the emergence of computer technologies. It demonstrated how neuroscience was facilitating our understanding of the brain processes underlying creativity, including the neurotransmitters and cortical regions implicated in artistic processes. Empirical analyses were supported by neuroimaging studies that established a correlation between brain activity and aesthetic experiences, as well as algorithmic simulations that simulated artistic cognition. Recent findings indicated an increasing role for AI in artistic production, with the technology emulating the brain’s creative processes. The neurotransmitters dopamine and oxytocin were demonstrated to influence artistic motivation and pleasure. Furthermore, neuroimaging studies showed that creative activities resulted in the activation of regions such as the limbic system and the prefrontal cortex. The extension of these processes enabled algorithmic models to generate artworks that defied conventional art definitions. The investigation introduced computational mannerism, a concept in which digital interfaces and machine learning expanded artistic potential by reflecting human cognitive patterns in real-time iterations. This suggested a fusion of human intuition and machine logic, thereby challenging the exclusivity of human creativity. This integration of neuroimaging data into algorithmic systems represented a paradigm shift, giving rise to a range of ethical and philosophical questions concerning authorship, creativity, and the artist’s role in the digital age. As AI progresses, it became imperative to develop novel theoretical frameworks to comprehend its cultural and metaphysical influence on artistic expression.