Michael UngarCEO of the Industry 4.0 Club

AI Suggestions: Oversight for Better Decisions

27 Apr 2026 · 1 min

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0:32

In this brief segment, the speaker outlines a human‑in‑the‑loop approach to AI‑generated recommendations. When an AI proposes a change, a dedicated engine evaluates the suggestion and presents the user with a clear depiction of its impact. This information equips humans to retain ultimate decision authority, even when the AI expresses high confidence, by leveraging human strengths in judgment and contextual understanding.

That determinism, every time the AI makes a suggestion, we can run it through our little engine and say, dear user, the AI suggested making this change. Here's the impact on it. This is sort of what I referred to earlier. And find a way that we can use exactly what humans are strong in for owning that decision and giving them the information they need so that even if the AI comes back and is, you know, very confident, that you have that information right there.