Abstract
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.
Original language | English |
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Publication status | Published - 26 Sept 2024 |
Event | Digitally Engaged Learning (DEL) 2024 - The Nanyang Academy of Fine Arts (NAFA), University of Arts Singapore, Singapore, Singapore Duration: 26 Sept 2024 → 27 Sept 2024 https://www.digitallyengagedlearning.net/2024/event/data-self-portrait-representing-self-and-others-through-computational-graphic-art-with-ai-collaboration/# |
Conference
Conference | Digitally Engaged Learning (DEL) 2024 |
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Country/Territory | Singapore |
City | Singapore |
Period | 26/09/24 → 27/09/24 |
Internet address |