BEGINNER
How to design AI-powered products that users trust, understand, and actually want to use — from mental models and uncertainty communication to conversational interfaces, human-in-the-loop patterns, and responsible AI disclosure.
Why designing for AI requires a different mindset — non-deterministic outputs, probabilistic results, and the unique challenge of building user trust in systems that can be wrong.
Practical patterns for communicating AI confidence, handling failures gracefully, and gradually revealing AI capabilities without overwhelming or misleading users.
How to design chat and voice interfaces that guide users toward good prompts, present AI responses readably, and manage the unique challenges of conversational context.
Design patterns for the spectrum from AI-as-suggestion to AI-as-autopilot — when to show AI involvement, how to collect user corrections, and how to keep humans appropriately in control.
The ethical dimension of AI product design — bias in AI interfaces, disclosure requirements, designing for diverse users, and a capstone challenge to audit and redesign a real AI product.
