AI-driven Digital Scenographies: Start/Stop cloning the designer

Maarten Francq
Promotors: Prof. Valéry-Ann Jacobs

This research explores the intersection of artificial intelligence and creative arts by developing a digital twin of an artist, capable of generating novel audiovisual performances. Utilizing a comprehensive dataset that includes historical performance data, personal communications, and social media feeds, the project aims to create an AI model that closely mimics the artist's style. The study investigates the boundaries between human creativity and computational innovation, addressing philosophical questions about the role of human agency in art and the potential for AI to reshape artistic practices. By engaging with cutting-edge technologies and interdisciplinary collaborations, this research seeks to advance the field of computational creativity and redefine the future of artistic expression.