The Two Problems Nobody Owns in AI: Accessibility and Security Are Design Problems in Disguise

"You should always know what is yours. In your product, in your model, in your team." There is a quiet crisis in AI development that nobody talks about directly, because it lives in the gap between disciplines. Two of the most critical challenges in deploying AI responsibly — making it understandable to non-experts, and making it resistant to adversarial manipulation — are both fundamentally design problems . Not engineering problems. Not research problems. Design problems. And yet designers are almost entirely absent from both conversations. Part One: Accessibility Is Sitting Under the Data Scientist’s Desk Walk into any AI team today. You will find machine learning engineers, data scientists, maybe a researcher or two. If you are lucky, a product manager. What you almost never find is a designer who has been given serious responsibility over how the model’s behavior is communicated to the people who use it, govern it, or are affected by it. This is a structural problem masquerading a