Welcome to Human-in-the-Loop Design

Human-in-the-loop (HITL) is one of the most misunderstood ideas in AI. The phrase is everywhere: in press releases, regulation, product roadmaps, ethics talks. And almost everyone means something different by it. This course gives you a precise definition and the patterns that follow from it. Real HITL is not "a human looks at the output sometimes." It's a deliberate design where humans have the authority, the context, and the time to actually intervene in AI decisions. Done well, it makes AI safer and better. Done badly, it's bureaucratic theater that costs money and slows everything down. We'll cover: • What HITL actually means (and what it's not) • Where HITL came from: aviation, military, medical diagnostics • Why HITL matters now: regulation, safety, bias, quality • Real-world examples: healthcare imaging, fraud detection, content moderation • How HITL works in practice: the propose, review, correct, learn cycle • When to use HITL, when not to, and how to decide • HITL in the age of AI agents: what changes This course is for product managers, designers, engineers, and anyone shipping AI products. No technical background required. If you finish this course and want to go deeper, take Advanced HITL Patterns next. Time: ~2 to 3 hours across 10 articles.