Human-in-the-loop: Difference between revisions

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== See also ==
== See also ==
* [[Agentic AI]]
* [[AI agent]]
* [[Artificial intelligence]]  (AI)
* [[Artificial intelligence]]  (AI)
* [[Artificial super-intelligence]]  (ASI)
* [[Artificial super-intelligence]]  (ASI)
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* [[Deep learning]]
* [[Deep learning]]
* [[Generative pre-trained transformer]]  (GPT)
* [[Generative pre-trained transformer]]  (GPT)
* [[Google Gemini]]
* [[GPT-4]]
* [[GPT-4]]
* [[Information technology]]
* [[Information technology]]
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*[[Unsupervised learning]]
*[[Unsupervised learning]]


[[Category:The_business_context]]
[[Category:Identify_and_assess_risks]]
[[Category:Identify_and_assess_risks]]
[[Category:Manage_risks]]
[[Category:Manage_risks]]
[[Category:Risk_reporting]]
[[Category:Risk_frameworks]]
[[Category:Risk_frameworks]]
[[Category:Risk_reporting]]
[[Category:The_business_context]]
[[Category:Technology]]

Latest revision as of 14:53, 15 September 2025

Information technology - software - machine learning - natural language processing.

(HITL).

In the context of machine learning, human-in-the-loop refers to one or both of the following roles undertaken by a human:

  • Manual labelling of training data.
  • Validating or feeding back to the model on the quality of its outputs.


See also