AI governance discussions still focus heavily on model quality, controls, and deployment risk. Those issues matter. But once AI-mediated statements influence disclosure, eligibility, pricing, health guidance, or internal conclusions, a narrower and distinct risk emerges: whether the organisation can later evidence what was relied upon, when, and under what constraints.
AI governance discussions still focus heavily on model quality, controls, and deployment risk. Those issues matter. But once AI-mediated statements influence disclosure, eligibility, pricing, health guidance, or internal conclusions, a narrower and distinct risk emerges: whether the organisation can later evidence what was relied upon, when, and under what constraints.