Work through five principles for making AI explanations people actually notice, read, and learn from. At the end you get a PDF of the workbook with your answers filled in.
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A common answer to distrust in AI is more transparency: open the black box and show what’s inside. But showing more doesn’t mean people understand more. A wall of text explaining one decision is as opaque as no explanation at all. To be trusted, an AI system has to be transparent and legible: explanations people actually notice, read, and learn from.
Pick an AI feature, a screen, a decision, or an output your users rely on. Describe it below, then work through each principle.