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LATHICAI Glossary

Data & Databases

Human feedback (AI)

Human judgments, corrections or critiques used to guide or assess AI.

Example

A reviewer marks a response as misleading and explains the problem.

Why people use it

It lets people point out useful behavior and mistakes that automated scores may miss.

What you'll hear

“This answer missed the important part.”

What this means for you

Check how feedback is processed and protect private information in it.

Can you control it?

Sometimes

Sometimes. Your choices depend on the tool and your access. The settings available to an everyday user may differ from those available to the people running it.

Common questions

Does collecting feedback mean the AI system immediately learns from it?
No. The service may use it later, selectively or not for training at all.
Do all reviewers necessarily agree?
No. People can differ in expertise, preferences or interpretation of the instructions.
Can feedback reveal private information?
Yes. A correction or explanation may include personal or confidential details that should be handled carefully.

Related terms

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