1.02 Design Above the Interface with Justin Ranton
I talk with Justin Ranton, who designs clinical AI at SmarterDX, about why the decisions that determine whether an AI product works happen upstream of the interface — not on the screen. We get into why a clearer, more convincing explanation can make a clinical AI more dangerous rather than safer; why a responsible output should keep clinicians checking instead of accepting; and where design ends and informatics and engineering begin. Along the way: automation bias, the risk hiding in tools that feel effortless, and the genomics dashboard he built on his own DNA.
"You could redesign that screen in theory forever. Better hierarchy, better typography, better empty states, and the reviewer is still going to do the same cognitive work. So when we think about designing above the interface, what that means is the decision. We move it upstream into what the structure is, what the model is asked to produce, what shape the output has to take, what counts as a complete explanation." —Justin Ranton
You can find Justin on LinkedIn
