When Facing AI, Don’t Just Ask Whether the Result Is Correct. Ask Whether the Risk Is Visible.
Traditional software is mostly driven by explicit rules. As long as the logic is correct, test cases are sufficiently covered, and input conditions remain stable, system behavior is generally predictable. But AI, especially generative AI, does not simply execute predefined rules. It produces outputs through a combination of probability, context, data, and model behavior. This is why, in AI projects, Human-in-the-Loop (HITL) should not be treated as just a slogan. It should be designed as an explicit control point within the process.
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