HCD.7:5.3 - AI Search and Critique with Human Checking

AI may search public sources, propose examples, calculate, draft, or critique within the permitted data boundary. The learner first states the question and acceptable-result condition, then checks decisive sources, assumptions, configuration, and calculations and explains why the selected Method applies. A human assessor retains the final protected-error judgement.

The capacity account includes preparation of permitted prompts, checking consequential output, correcting failures, and a path for closed project data that cannot be sent to the tool. A narrow changed-support task can make one human contribution visible, but ordinary AI-supported work remains legitimate when the later-Work configuration includes it. Neither access nor fluent output establishes learning.