SECAI Core · phase 6 of 15
Human-in-the-loop
Allowing humans to interview and approve or override decisions in AI systems.
The Explain card
- Plain English
- Human-in-the-loop means a person reviews AI decisions and can approve, question or override them before they take effect, rather than letting the system act unsupervised.
- Example
- An AI tool drafts firewall rule changes from ticket requests. Instead of applying them automatically, each proposed change is queued for a network engineer who checks the scope and clicks approve or reject.
- Why it matters
- Models make confident mistakes and can be manipulated. A human checkpoint limits the blast radius of bad outputs, especially for actions that are irreversible or high impact. The loop only works if the human actually reads rather than rubber-stamps.
- Hook
- Human-in-the-loop: the AI proposes, a person disposes.
Where it sits in the deck
Phase 6: Model Quality, Ethics, and Responsible AI Principles
Before deploying a model, understand the quality and ethical dimensions — bias, fairness, explainability, and the human oversight needed to govern outputs responsibly.
