Turn policy into usable disclosure rules
Improve an organizational AI policy excerpt so employees know when and how to disclose AI use.
An AI policy needs to move from a transparency slogan to a disclosure operating rule. Before: the policy says to be transparent, but employees still have to guess. After: disclosure triggers, examples, reviewer roles, and escalation paths are visible. Added triggers by reliance risk: external content, decision inputs, and realistic synthetic media have different disclosure depths. Added examples because employees learn policy through cases, not abstract values like transparency and responsibility. Added review ownership so high-reliance AI outputs have a named human accountable before distribution. Added escalation paths for unclear cases, which prevents silent guessing when new AI workflows appear.…
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