Throughout FIT, you have used tools that provide evidence.
Examples include:
None of those tools removes the need for human judgment.
A person still needs to ask:
An AI system can generate:
The output becomes something you can examine.
It is not automatically the final decision.
A useful relationship is:
A responsible decision can require information the AI does not have.
For example:
The person responsible for the task needs to bring those constraints into the decision.
Responsible human judgment is not:
People can also:
A strong human decision includes the ability to say:
That is why Verify is part of the decision framework.
A beginner may recognize that a generated C# example looks plausible without being able to determine whether it is safe or appropriate for a complex production system.
That limitation matters.
When the consequence is significant, seek appropriate expertise or authoritative evidence rather than pretending to evaluate beyond your current knowledge.
Human judgment includes knowing when to involve another qualified person.
Suppose AI produces an email draft.
The AI does not know every relationship, policy, or consequence surrounding the message.
The person sending it should decide:
The final use occurs in a real context.
That context is part of the human responsibility.
Imagine an AI accurately explains a complicated technique that the current course has not taught.
The explanation may be technically correct.
Using it in an assessment could still be inappropriate if the task is designed to measure concepts within a defined learning boundary.
Correctness is one factor.
Appropriateness is another.
A strong decision can be justified.
For example:
or:
The explanation connects the decision to evidence and requirements.
A useful process is:
The process matters because confidence alone is not evidence.
AI can support human work.
It should not replace the responsibility to understand, evaluate, and justify the result.
The final step is a human decision informed by evidence.