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

Research output: Contribution to conferencePaperpeer-review

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 languageEnglish
Publication statusPublished - 26 Sept 2024
EventDigitally Engaged Learning (DEL) 2024 - The Nanyang Academy of Fine Arts (NAFA), University of Arts Singapore, Singapore, Singapore
Duration: 26 Sept 202427 Sept 2024
https://www.digitallyengagedlearning.net/2024/event/data-self-portrait-representing-self-and-others-through-computational-graphic-art-with-ai-collaboration/#

Conference

ConferenceDigitally Engaged Learning (DEL) 2024
Country/TerritorySingapore
CitySingapore
Period26/09/2427/09/24
Internet address

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