Transparency in AI Decisions

Transparency in AI decisions means making the basis of agent choices visible and understandable to stakeholders. This includes showing which data the agent considered, what alternatives it evaluated, why it chose one path over another, and what would change if inputs were different. Transparency isn't just a nice-to-have — in regulated industries and high-stakes decisions, it's a requirement. The UX challenge is delivering transparency without overwhelming users with information they can't act on.