This artwork depicts a ballerina split into two halves. One side is human — organic, expressive, and imperfect. The other side resembles a mechanical music-box dancer — polished, symmetrical, and algorithmic. The figure stands balanced between these two identities, symbolizing the tension between human creativity and technological automation. The piece was inspired by the artist’s essay on education, performance, and artificial intelligence. In that essay, she describes how modern education systems often feel like continuous auditions, where students optimize for grades and outcomes rather than exploration and learning. The ballerina reflects this idea: trained to perform perfectly, yet caught between genuine human expression and mechanical repetition. By placing the dancer at the center of two contrasting worlds, the work asks a central question: are we becoming the systems we build, or are the systems beginning to reshape us? Medium: This piece was created using p5.js, a JavaScript library for creative coding and generative art. The concept and structure of the artwork were developed through a combination of personal design decisions and AI-assisted brainstorming tools. The artist used conversational AI tools (such as ChatGPT) to explore visual prompts, conceptual framing, and code experimentation while maintaining direct authorship of the artistic direction and narrative of the work. The final artwork was produced through iterative coding, adjusting geometry, motion, lighting, and generative visual elements within the p5.js environment. Artist Bio: Jenan Kamal is a student at UCLA studying Computer Science and Cognitive Science with a strong interest in the relationship between technology, human thinking, and creative expression. Growing up across multiple education systems in Australia, Saudi Arabia, the United Kingdom, and the United States shaped her perspective on how people learn, adapt, and respond to systems of evaluation. Alongside her academic interests, Jenan has a long history in ballet and creative writing, both of which influence her artistic perspective. Her work often explores the tension between human expression and structured systems, particularly as emerging technologies begin to shape how we think, create, and learn. Through generative art and creative coding, she experiments with ways technology can both challenge and amplify human creativity. Artist Statement: This piece comes from a personal question I have been thinking about while studying both computer science and cognitive science: how do we remain human in systems increasingly shaped by technology? The ballerina became the perfect metaphor for this tension. Ballet is an art form built on discipline, repetition, and performance. In many ways it mirrors the education systems many students move through today — systems that reward precision, efficiency, and results. But behind every performance there is also vulnerability, creativity, and human effort. In the artwork, the ballerina is divided between two identities. One side represents the human artist: expressive, imperfect, and evolving. The other side represents a mechanical music-box dancer: perfectly repeatable, predictable, and automated. The figure is not breaking apart, but balancing between these two forces. The title I Am It and It Is I reflects the complicated relationship we now have with artificial intelligence. As we use these tools, they begin to shape our habits, our thinking, and even our creative processes. The boundary between human and machine becomes less clear. Rather than framing technology as something that replaces creativity, this work explores the idea that the real challenge is learning how to coexist with it without losing our voice. Generative art is the ideal medium for this conversation. The artwork itself is produced through code — the very language of the systems that raise these questions. In this way, the piece is both a product of technology and a reflection on it.
  • ArtistJenan Kamal






Token ID88
Chain
Ethereum
Contract
Type
ERC721TL
MetadataIPFS
MediaHTML