Interface Design & UX

The interface is where all the theory about trust, bias, and explainability meets reality. You can build the most capable, well-calibrated AI system in the world, and it will still fail if people can't figure out how to use it, don't understand what it's doing, or find the experience frustrating. AI presents unique design challenges that traditional UX principles don't fully address. Outputs are non-deterministic - the same input can produce different results. Capabilities are fuzzy - there's no clear manual that lists everything the system can and can't do. Errors are unpredictable - the system might handle a complex request brilliantly and then stumble on something simple. Designing for these characteristics requires rethinking fundamental assumptions about how software should behave and how users should interact with it. The best AI interfaces don't just present outputs - they help users understand what they're looking at, provide appropriate controls, handle failures gracefully, and build the kind of understanding that leads to effective long-term use rather than initial excitement followed by abandonment.