Kozminski Techblog

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        As technology advances, the use of artificial intelligence (AI) in the field of dance choreography is becoming more widespread. Researchers are exploring ways to harness the power of AI to create new and unique choreography, and even to preserve the legacy of choreography after an artist has passed away. One way in which AI is being used in dance choreography is through the development of deep learning-based models that can autonomously compose varied dance motions that match rhythm and style. Additionally, AI is being used to create videos featuring individuals without formal dance training, as well as robots, performing the choreography of popular musicians and spinning and twirling like ballerinas. The integration of AI in dance is an exciting development that has the potential to bring new possibilities and innovations to the dance industry.

              Step-by-step instructions on how AI generates choreographies

1. Data collection: The first step in creating AI-generated choreography is to collect data on the movements of dancers. This data can be collected using motion-capture technology, which records the movement of dancers using sensors placed on their bodies.

• Data analysis: Once the data is collected, it is analyzed to identify patterns and trends in the dancers’ movements. This analysis can be done using machine learning algorithms that can identify patterns and relationships in the data.

• Generating choreography: Based on the analysis of the data, the AI system generates new choreography. This can be done by using the patterns and relationships identified in the data to create new movement sequences that match the rhythm and style of the music.

• Testing and refining: The AI-generated choreography is then tested and refined by dancers. Feedback from the dancers is used to make adjustments to the choreography to ensure that it is performable and effective.

• Finalizing: Once the choreography is finalized, it is ready to be performed by dancers. The AI system can also be used to generate new choreography in real time, which allows for the creation of unique and dynamic performances that can adapt to the music and the dancers.

• Continuously learning: The AI system can continuously learn from the performance and dancers’ feedback, allowing it to improve and generate new choreography that is more complex and creative.

Projects relating to AI-based choreography :

•  Georgia Institute of Technology’s LuminAl project

This project is an interactive art installation in which individuals have the opportunity to collaborate with an AI-based virtual dance partner in movement improvisation. The AI virtual dancer observes the human partner’s movement through the use of movement theory and adapts its responses by drawing from past interactions with humans. The goal of the project is to create an engaging and dynamic experience through the collaboration between humans and AI in movement improvisation.

• Rhizomatiks with Kyle McDonald

Rhizomatiks, a Japanese company, teamed up with media artist Kyle McDonald to create an AI dancer, called “Discrete Figures,” which uses a neural network to generate its dance moves. The network was trained by recording the movements of real dancers improvising to a click track and was able to generate humanoid forms. This technology has potential applications as a tool for choreographers and in fields such as rhythmic gymnastics, theatre, skating, and artistry. It’s now possible to envision using an AI choreographer to help achieve perfect performances.

• Lifeforms

Merce Cunningham, a pioneer in the use of technology in the arts, developed the choreographic software “Lifeforms” in the late 1980s. Known for his dedication to experimentation and innovation, he was a leader in using technology to generate movements that exceeded the limits of the human body and mind. As he faced physical limitations due to his age, Lifeforms provided an alternative way for him to create movement and pass it on to his dancers.

   To summarise, the incorporation of Artificial Intelligence (AI) in choreography has the potential to revolutionize the dance business. Through motion capture technology and machine learning, AI can evaluate and develop new choreography, opening up a whole new world of possibilities for choreographers and dancers. The application of artificial intelligence in choreography enables the production of physically challenging or impossible routines, as well as the discovery of new dance genres and moves.

    Furthermore, AI can improve existing choreography by evaluating the motions of the dancers and the reactions of the audience. Choreographers may now produce more interesting and effective performances.

    However, while employing AI in choreography, it is critical to consider the inherent obstacles and ethical considerations. Some of the ethical concerns that must be addressed are the need for proper training and supervision of AI systems to ensure they are used responsibly and ethically, the potential for bias and discrimination as AI systems may replicate and amplify existing societal biases, and the potential job loss for choreographers and dancers.

Sources :

AI dancing: An intelligent synthesis of Choreography and Technology | AIWS (aiworldschool.com)

The Influence of Artificial Intelligence in Dance Choreography (kenyon.edu)

Living Archive: Creating Choreography with Artificial Intelligence — Google Arts & Culture