Diego Antonio Mar¨ªn Bucio

This paper explores the intersection of dance, human experience, and artificial intelligence (AI), focusing on how AI can engage in dance-like movements through kinematic co-creation with human performers. The study challenges traditional notions of dance, which are typically centered on human physicality and expressivity, by demonstrating how AI-generated movements can evoke meaningful dance experiences. The project, Dancing Embryo, is a collaboration between a dancer-choreographer and a computational scientist to create an interactive AI capable of generating and transforming dance movements. The AI dancer, designed using motion data from contemporary dancers, participates in real-time performances by synchronizing features of its movements with a human dancer. This work expands the definition of dance to include non-human agents and emphasizes co-creativity between humans and machines. The paper discusses the technological, philosophical, and artistic implications of AI dance, proposing that the experience of dance can be perceived and completed through human interpretation, even when performed by a machine.

The body goes through different states during the creation of collective dance, its communication with other bodies (as well as the connection with its own) encompasses a complex interaction that, in addition, follows imaginative sensations suggested by the choreographer. This article exposes, through the structural analysis of a choreographic piece, the moments of kinesthetic identification occurring in and between the dancers during its creation. The analysis follows Spiegelberg's methodology for phenomenological analysis and Anca Giurcesco's methodology for structural analysis of dance, with the aim of understanding how the relationship between the choreographer's ideas take shape in and through the dancers' bodies. The text defines concepts such as 'forms of congruence', triggers questions about interoceptive awareness during the search for congruence between breath and collective movement, and shows the coherence between the choreographer's poetic proposal and its objective physical interrelation.

Human-machine interaction in dance is not a new phenomenon, however, the evolution of Artificial Intelligence (AI) in recent years allows new scenarios where novel methods of creative collaboration between human and artificial intelligence are proposed. From an interdisciplinary approach, this article provides an analysis of different software for choreographic creation and synthesises the findings from the creative collaboration between the author and an AI-dancer, which were presented at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge (UK). The author concludes that in order to co-create dance with an AI, it is not enough to simply use it, but it must enable an experience in which the human and machine can be exposed to a mutual influence that is not limited to logical reas