Session Description

AI-powered search is no longer just retrieving information. It interprets, summarizes, and increasingly decides what counts as the answer. As these systems become more confident and complete, users may be less likely to examine the underlying information, question assumptions, or notice where uncertainty and bias remain. When those biases reflect whose experiences were included, excluded, or treated as the default, the consequences are not equally distributed.

This talk is about designing critical human intelligence back into the experience. Drawing on behavioral UX, cognitive offloading and spatial thinking, Öykü will share practical design principles for making AI-powered search easier to understand, inspect and challenge. She will explore how interfaces can surface sources, uncertainty and alternative perspectives while helping people remain active participants in the decision-making process.

The goal is not to slow AI down. It is to build a better relationship between humans and artificial intelligence systems, one where technology reduces effort without replacing people as the ones who decide.