Kucharski explores how trust is built in both human-designed systems and emerging technologies, noting that explainability plays a key role in gaining public confidence. He contrasts domains where high accuracy can suffice without full understanding, like autonomous vehicles, with areas such as criminal justice, where lack of explanation can lead to bias and harm. The discussion also covers conspiracy theories—how they reflect a natural desire to find patterns and meaning, yet resist revision even when evidence contradicts them. Scientists, he argues, often fail to provide satisfying explanations, unintentionally fueling distrust. Finally, Kucharski highlights the challenge of communicating complex scientific ideas and the importance of improving how we evaluate and convey knowledge in an uncertain world.