TLDR
Human In The Loop (HITL) is traditionally defined as "a model that requires human interaction" In a Machine Learning context, it implies a hybrid computation model whereby a human can overrule decisions taken by a machine where they are less likely to be correct. The point of the HITL model is to leverage the cost reduction benefits of automation – through algorithms, statistical models, AI, you name it – while mitigating potential errors by having people take over tricky situations. Most HITL systems assume high confidence algorithm-based decisions need no human intervention.via the TL;DR App
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Written by bernatfp | Working on Human Lambdas
