Design education is asking better AI questions
A University of Utah panel placed disciplinary foundations, critical thinking, privacy and professional judgment alongside AI experimentation.
Maintaining strong disciplinary foundations, critical thinking skills, and professional judgment
University of Utah panel discussion on AI and design education
The Story
A recent University of Utah discussion on AI and design education focused not only on new capabilities, but also on privacy, bias, transparency, academic integrity and the need to preserve disciplinary foundations. ([ai.utah.edu](https://ai.utah.edu/blog/posts/2026/ai-design-education.php))
That is a useful model for higher-education marketing. Prospective students do not need another vague promise that AI is changing everything; they need to see how a programme teaches judgment, context and responsible application. ([ai.utah.edu](https://ai.utah.edu/blog/posts/2026/ai-design-education.php))
For Studio Wensday, this creates an opportunity to design admissions stories around practice: show the critique, the iteration and the decision-making—not just the final AI-assisted image.
Studio Wensday Angle
Market the learning process, not only the technological outcome.