AI bias isn’t just loud or obvious — sometimes it shows up in what’s missing. In this issue, we explore the invisible biases baked into tools we trust, why “empowered” isn’t as empowering as it sounds, and what happens when your AI serves up two coffees and a maple dip donut. Spoiler: it’s not just about donuts.

What if the most important research skill in the age of AI isn’t speed — but knowing when to slow down?

In this edition of Human at the Center, we take you inside our real-world workflows to show how AI can support deeper thinking, not just faster output. From custom GPTs to printed transcripts at the dog park, we’re exploring what it means to stay human in the research process — and why reflective prompting might be the new literacy skill that matters most.