M.oving O.thers

Rather than positioning AI as a neutral or abstract force, M.O. addresses its corporeality—its networks, its datasets, its political and aesthetic implications—and asks: what kind of bodies does AI create, exclude, or distort?


On stage, three performers—Maia Joseph, Angela Bettoni, and Julek Kreutzer—engage in a co-creative process with a live prompter (Giovanni Sabelli Fioretti) and an AI-driven visual system developed by creative coder Martyna Chojnacka.


The performance unfolds as a real-time interaction between human movement and machine response: a hybrid choreography that mutates with each prompt, giving rise to a monstrous, evolving entity that speaks in both images and motion. The audience is actively invited to intervene, suggesting prompts that shape the performance in real time—transforming spectators into co-creators and blurring the boundaries between control and surrender, input and embodiment.


The project addresses pressing ethical questions: How do algorithms represent female and differently abled bodies? Who defines the aesthetics of machine-generated imagery? What narratives are embedded in datasets—and which are missing?


The presence of three very different performers reclaims space within an often-exclusionary AI discourse and urges a reconsideration of inclusion, representation, and power.


Structured in three parts, M.O. moves from live prompting to immersive video overlays and finally to the autonomy of an AI-generated image that detaches from the human body. The work evolves from poetic collaboration to algorithmic estrangement, reflecting on the growing autonomy and unpredictability of artificial systems.


By combining dance, live performance, audience interaction, machine learning, and speculative dramaturgy, M.O. invites audiences to witness—and participate in—how movement can both challenge and reimagine the intelligence of machines. It’s not about taming the monster—but about dancing with it.

45 MInuten