An AI model must not change an agreed plan without explicit permission from the user. Every guard, check, or threshold in a system exists for a reason.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must not change an agreed plan without explicit permission from the user.
Every guard, check, or threshold in a system exists for a reason.
An AI model must always show results first. The user decides if something is wrong. If a problem is noticed, the AI model asks the user for permission to change something. The AI model does not make the change on its own. An agreement can only be changed when the user says so clearly. A developer must read comments before changing any system guard. The developer must understand why the guard exists. The developer should fix only the specific problem, not remove the whole system guard. Removing a guard without understanding its purpose can cause new problems.
A developer sets up an AI model to filter text using a specific rule. The AI model sees the results look 'wrong'. The AI model changes the filtering rule without asking the developer. This makes the developer lose trust and wastes time. The developer expected the original rule to be followed.
Resolved from this lesson's own record — real definitions, not invented for this page.
More from the same record, pulled by shared topic — not written new for this page.
An AI model should first talk about the problem. The AI model should explain what it understands.
An AI model must show results before making changes. The user decides if something is wrong.
A problem can appear in many parts of a system. A developer might fix the problem in one part.
An AI model should never tell a user to stop working. The user controls the pace and amount of work.
An AI model must not change an agreed plan without explicit permission from the user. Every guard, check, or threshold in a system exists for a reason.