Abstract
We are entering a period of disruption in design which is up ending the process and in turn changing design education. By extension, the practice and profession will also be changed because of artificial intelligent (AI) tools which use machine learning (ML) technology. Current commercial versions of AI tools have already produced novel results sending a signal to design educators to consider the implications and future of design teaching. This paper introduces a new course being developed at our University in Graphic Communications to develop a pipeline which uses only online AI content generators to produce designs based on a process divided into seven segments of production. The stages are organized using general characteristics of thought, distillation, generation, integration, refinement, analysis, and evaluation. The pipeline will be discussed, used and modified by students who will work through three projects to produce materials that guide decisions, critique prototypes and collect data from user feedback. Generally, content will be created using current AI tools based on concepts and prompts thoroughly discussed and refined for the pipeline. The course is intended to initiate the discussion around a technology that has potential to radically change the way design is practiced in the near future.
Keywords
Machine Learning, Design, Education, Process, Pipeline
DOI
https://doi.org/10.21606/iasdr.2023.284
Citation
Derksen, G.(2023) A production pipeline for an ai-powered design course, in De Sainz Molestina, D., Galluzzo, L., Rizzo, F., Spallazzo, D. (eds.), IASDR 2023: Life-Changing Design, 9-13 October, Milan, Italy. https://doi.org/10.21606/iasdr.2023.284
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
fullpapers
Included in
A production pipeline for an ai-powered design course
We are entering a period of disruption in design which is up ending the process and in turn changing design education. By extension, the practice and profession will also be changed because of artificial intelligent (AI) tools which use machine learning (ML) technology. Current commercial versions of AI tools have already produced novel results sending a signal to design educators to consider the implications and future of design teaching. This paper introduces a new course being developed at our University in Graphic Communications to develop a pipeline which uses only online AI content generators to produce designs based on a process divided into seven segments of production. The stages are organized using general characteristics of thought, distillation, generation, integration, refinement, analysis, and evaluation. The pipeline will be discussed, used and modified by students who will work through three projects to produce materials that guide decisions, critique prototypes and collect data from user feedback. Generally, content will be created using current AI tools based on concepts and prompts thoroughly discussed and refined for the pipeline. The course is intended to initiate the discussion around a technology that has potential to radically change the way design is practiced in the near future.