{"id":203,"date":"2024-02-29T15:42:21","date_gmt":"2024-02-29T20:42:21","guid":{"rendered":"https:\/\/websites.emerson.edu\/data-fluencies\/?page_id=203"},"modified":"2025-06-30T11:13:41","modified_gmt":"2025-06-30T15:13:41","slug":"machine-learning-to-be","status":"publish","type":"page","link":"https:\/\/websites.emerson.edu\/data-fluencies\/machine-learning-to-be\/","title":{"rendered":"(Machine) Learning to Be"},"content":{"rendered":"\n

Blending theatrical conventions, choreographed movement, poetry, and artistic experiments with machine learning, (Machine) Learning to Be <\/em>is <\/em>a participatory, devised, hybrid multimedia performance experience that engages with Artificial Intelligence (AI) systems and their societal impacts. The performance features interactive interfaces that engage AI as embodiment technologies and human and AI characters that convey the multifaceted nature of AI, its dangers and possibilities for our communities. Rooted in visions of decolonial AI, (Machine) Learning to Be<\/em> seeks to challenge established systems of control and envision more equitable futures alongside AI technology. Both online and in-person, (Machine) Learning to Be<\/em> directly engages participants in the process of world-making. This work aims to spark a conversation around the possibilities and impacts of AI on the human body and society, using the hybrid performance model to expand access to the conversation for all who wish to engage.<\/p>\n\n\n\n

The performance had a developmental workshop with public sharing at Brown University in August 2024, produced in collaboration with Brown Arts Institute as part of the inaugural Brown Arts IGNITE Series<\/a>, and was presented at Progress Lab 1422 in Vancouver (Canada) in May 2025 in partnership with Theatre Conspiracy<\/a>. Aspects of the performance and creation process were presented in the Huret & Spector Gallery<\/a> at Emerson College (Boston) in March 2025.<\/p>\n\n\n\n

The live online performance is powered by CultureHub Broadcaster. CultureHub Broadcaster is an open-source livestreaming venue that integrates p5.js so users can create real-time interactions for online audiences. Developed by CultureHub<\/a>, the browser-based software is a free, uncensored venue for non-profits, artists, and educators to create hybrid performances and events. CultureHub also serves as an outreach partner for the (Machine) Learning to Be<\/em> online performance.<\/p>\n\n\n\n

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Photo credit: Cameron Anderson<\/figcaption><\/figure>\n\n\n\n
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Photo credit: Cameron Anderson<\/figcaption><\/figure>\n\n\n\n
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Photo credit: Cameron Anderson<\/figcaption><\/figure>\n\n\n\n
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Photo credit: Cameron Anderson<\/figcaption><\/figure>\n\n\n\n
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Photo credit: Cameron Anderson<\/figcaption><\/figure>\n\n\n\n
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