Still reeling at my student's rejection of AI I decided to attend the final presentations of a collaboration between the design school and Adobe.
A group of "transdisciplinary design" MFA students spent the semester working with Adobe engineers, crafting their own artistic projects and helping articulate codes of "content authenticity and provenance."
The students had found, learning through doing, that AI can expedite creativity or short-circuit it. At some stages friction is useful.
One student shared her learning about how AI can turbocharge options, overwhelming the creative (and destroying the planet) until the value of limits is appreciated, along with the environmental costs of AI, in an animated film about a cute polar bear. (This 2-D summary doesn't mention that at the moment the polar bear starts producing cascading streams of AI content the ice floes beneath him begin to melt.)
The course supervisors, from Parsons and Adobe, synthesized the students' views on when AI is welcome to their creative process or a threat in a handy visualization of the stages of the creative process.
I found this phase chart so helpful that I shared it with one of my faculty senate co-chairs, a designer who works in more business-focused "impact entrepreneurship." I was surprised only, I told her, that they were so closed to using AI in the final stages of their work, the point where, the director of Adobe's generatative AI Firefly had observed a little glibly, they "add the human touch."
"That's because they're artists," she said. In the design processes she teaches, AI adds loops and layers of refinement and application as products and concepts find markets and audiences and partnerships - things that used to take weeks, now accomplished in minutes.
The "phase" map I'd appreciated fits with the "double diamond model" that everyone used to use, she told me, but in her world AI has replaced that with what's called the "stingray model." I looked for it online and found this. It promises to help teams "overcome human bias," move beyond solutions they "fall in love with" to "meet the needs of a broader expanse of society." This is different from artists honing their distinctive voice. Do only artists (like my fave of the show) see value in friction?
My own mind is reeling, but in a good way. One of the speakers from Adobe (a Parsons alum from pre-AI days) had reported that students were worried that frictionless AI would lead to "never skilling" (bypassing skills it would be valuable for them to acquire) and "deskilling" (losing fluency in things they already knew how to do.) I can use that, too!
Her gloss for what they were all trying to foster and facilitate, "creative intelligence," is an interesting brief for the aims of liberal education in an age where AI is integrating into every phase of things.






































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