DEFINITION
HITL is a way to add human input to an AI process. This can be done by having humans validate, provide feedback, annotate and/or approve AI outputs. This means outputs will be more accurate, safer, more accountable and contextual by adding some human input at key points during the AI process. Depending on the use case this can be used to provide human input during model training, validation or real time decisions.
Why use Human-in-the-Loop?
- Accuracy – Ensures errors made by the AI are picked up and corrected.
- Safety – Ensures there is some oversight when making decisions.
- Improvement – Can help improve the models using human feedback.
- Accountability – Ensures people are still involved in decision making.
- Trust – Makes AI assisted processes easier to review.
Use-Cases
- Review AI generated responses
- Approve high-value transactions made by AI agents.
- Validate medical or financial decisions made with the assistance of AI.
- Annotate datasets for supervised machine learning.
- Review AI generated legal, compliance, or business documents.
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.
