How do you build AI systems that are powerful yet understandable?

Quick Answer: Six strategies: Progressive Disclosure (layered information), Confidence Indicators (certainty levels), Natural Language Explanations, Visual Representations (charts/graphs), Interactive Interfaces (experimentation), and Explainable AI Techniques (LIME/SHAP). Test with 20+ diverse users for comprehension, trust, and decision quality.

Key Characteristics:
  • Reframe AI as "a sophisticated prediction machine" making probabilistic guesses
  • Progressive disclosure: layer complexity based on user needs
  • Confidence indicators help users calibrate trust appropriately
  • Amazon's 2015 recruiting tool showed unexplained gender bias—transparency prevents this
Real Example:

Last Updated: 23 September 2025