Tools That Explain Themselves

When a public tool makes a decision, the people affected deserve to know how. Sofia Alvarez shares interface patterns that reveal what a system knows, why it acted and how to question the result.

Drawing on work with multidisciplinary teams, she shows small changes — inline explanations, readable histories and simple appeal routes — that make technology more accountable without making it harder to use.