Data Self-Portrait: Representing Self and Others Through Computational Graphic Art with AI Collaboration

This paper explores the creative potential of using computational graphic art and artificial intelligence (AI) to generate data-driven self-portraits that reveal insights about the individual and the broader human experience. Through the “Data Self-Portrait” project, we examine how students collaborate with AI assistants like ChatGPT to not only collect, analyse, and visualise personal data but also to enhance their
understanding of the underlying computational graphic art techniques and coding required to bring their data-driven self-portraits to life. By engaging with this emergent practice in art and design pedagogy, we demonstrate the power of data and AI as mediums for self-expression, storytelling, and creative exploration.

Presenters: 

• Xiaoqiao Li, Senior Lecturer (Department of Creative Arts, School of Arts and Social Science, Hong Kong Metropolitan University)

Session type: Paper

Time listed is Singapore time.