Materiality and the Machine: Maximising Material Experiences in the Age of AI

Authors

Ceri Almrott, Technological University Dublin
Keith Colton, Technological University Dublin
Mark Ennis, Technological University Dublin
Ina O'Connor

Document Type

Conference Paper

Publication Details

https://doi.org/10.35199/epde.2024.62

Abstract

Artificial Intelligence (AI) and related technologies are expected to significantly impact the future of design, but traditional design methods are still important. Material Intelligence (MI) is crucial for product designers, and a structured four-year approach to undergraduate design education centred around experiential learning through MI is presented. The approach emphasises hands-on experimentation, integrates MI into the core curriculum, and prioritises interdisciplinary collaboration to produce innovative, functional, and sustainable design solutions.

DOI

10.35199/epde.2024.62

Recommended Citation

Almrott, C., Colton, K., Ennis, M., & O'Connor, I. (2024). MATERIALITY AND THE MACHINE.. https://doi.org/10.35199/epde.2024.62

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.