Performance Situation Room 2026: Artificial Intelligence between figure and background (lecture / showing)
Two choreographers show how they engage with AI in their dance practice.
In just five years, common-use artificial intelligence has invaded our thoughts, language, and relationship to images. It is still up for debate if the machines got more intelligent, or if the originality and creativity of the human mind have become more predictable. But the artificial neural networks prove durable, notwithstanding the intellectual property violations and pervasive surveillance systems they feed on.
Choreographers Michiel Vandevelde and Arkadi Zaides, who both use AI and algorithms in critical ways, will be at parallel residencies at STUK for the week of October 26. On 29 October 2026 they will open their doors to share the creation process. Dance and technology scholar Harmony Bench (Ohio State University/US), the author of Perpetual Motion: Dance, Digital Cultures, and the Common (2020), will prepare the groundwork for understanding how digitization and big data engage with choreography and the potential impact of AI on dance.
PROGRAMME
15:00 - 15:30 Harmony Bench (Verbeeckzaal)
Video lecture with introduction by dance programmer Eylul Fidan Akinci
15:45 - 16:45 Michiel Vandevelde (Studio)
Studio visit and conversation about Petrushka, Against the Image
17:00 - 18:00 Arkadi Zaides (Studio)
Studio visit and conversation about Et in Arcadia Ego en THE CLOUD
Co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the European Research Executive Agency can be held responsible for them.
The video lecture and studio visits are the public part of a residency week by Michiel Vandevelde and Arkadi Zaides. During that week they explore and open up how they both work with AI in their artistic practices.
Credits
Location
Price
FREE with registration