• AI systems have to be able to show a record of what happened and how.

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  • Summary

A growing consensus among regulators, industry leaders, and privacy advocates is that AI systems must provide verifiable evidence of their decision‑making processes. The call for “provable” AI emphasizes the need for detailed audit trails that document data inputs, model reasoning, and the sequence of events leading to outcomes. This shift moves beyond simple dashboards, demanding transparent, reproducible records that can be inspected by auditors, users, and affected parties. The push aims to enhance accountability, reduce bias, and ensure compliance with emerging data‑protection and AI‑ethics standards.

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