AI outputs should be positioned as decision support, not decision replacement. They work best when they provide clear recommendations, confidence signals, and context, while leaving final judgment with humans.

In practice, this means integrating AI into existing workflows where people already make choices, highlighting why an output exists, and making it easy for humans to question, override, or refine it. The goal is to improve decision quality, not remove accountability.