Principle 1: Transparency Over Black Boxes
Users need to understand what AI is doing and why. Every AI-powered feature should explain its reasoning in plain language.
Principle 2: Control Always With the User
AI should suggest, never decide. Users must always have a clear way to override, undo, or disable AI features.
Principle 3: Progressive Disclosure
Don't dump all AI capabilities on users at once. Introduce features gradually as users demonstrate readiness.
Principle 4: Graceful Degradation
When AI fails (and it will), the product should still work. Design fallback experiences that don't break the user's flow.
Principle 5: Feedback Loops
Let users rate AI suggestions. This improves the model AND builds user trust over time.
Principle 6: Accessibility First
AI features must be accessible to all users. Screen readers, keyboard navigation, and alternative inputs must work with AI interfaces.
Principle 7: Measure What Matters
Don't measure AI accuracy in isolation. Measure user outcomes — did the AI actually help them accomplish their goal faster?