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human-in-the-loop (HITL)

Human-in-the-Loop (HITL) refers to systems or processes where human intervention is integral to the operation and success of the system. In the context of machine learning and artificial intelligence, HITL involves humans providing feedback to AI models, particularly when the model’s predictions or decisions are below a certain confidence threshold or when the data is ambiguous, incomplete, or evolving[1][4][5][7][10].


HITL is used in various domains, including:


  1. Modeling and Simulation: In fields like flight or driving simulation, humans interact with the simulation to influence outcomes and gain skills transferable to real-world situations[1].
  2. Machine Learning: HITL is crucial for improving machine learning models by allowing humans to correct and validate the model’s outputs, especially in cases where the data is rare or the stakes of incorrect predictions are high[4][5].
  3. Document Processing: Google Cloud’s Document AI uses HITL for humans to review, validate, and correct data extracted from documents, ensuring accuracy and mitigating risks associated with incorrect data[2].
  4. Content Recommendation: Services like Netflix use HITL to refine their recommendation algorithms by incorporating human feedback[3].
  5. Cybersecurity: HITL systems monitor network traffic and identify potential security breaches, with human analysts reviewing and responding to incidents[6][8].
  6. Customer Support: HITL is used in chatbots and virtual assistants, where humans step in to handle more complex queries or issues[8].
  7. Medical Diagnostics: HITL assists in analyzing patient data and providing preliminary diagnoses, which healthcare professionals then verify[8].


The benefits of HITL include improved accuracy, risk mitigation, and the ability to handle complex or nuanced tasks that AI alone might not manage effectively. It also allows for continuous improvement of AI systems through iterative feedback from human operators[1][4][5][7][10].


In summary, HITL is an approach that leverages the strengths of both human intelligence and artificial intelligence to create more accurate, reliable, and effective systems across various applications.


Citations:

[1] https://en.wikipedia.org/wiki/Human-in-the-loop


[2] https://cloud.google.com/document-ai/docs/hitl


[3] https://www.clickworker.com/customer-blog/human-in-the-loop-ml/


[4] https://levity.ai/blog/human-in-the-loop


[5] https://towardsai.net/p/l/integrating-human-in-the-loop-hitl-in-machine-learning-application-is-a-necessity-not-a-choice


[6] https://www.linkedin.com/pulse/responsible-ai-use-human-in-the-loop-hitl-anderson-anthony


[7] https://encord.com/blog/human-in-the-loop-ai/


[8] https://www.1000minds.com/articles/human-in-the-loop


[9] https://labelyourdata.com/articles/human-in-the-loop-in-machine-learning


[10] https://www.bmc.com/blogs/hitl-human-in-the-loop/


[11] https://docs.px4.io/main/en/simulation/hitl.html


[12] https://www.unite.ai/what-is-human-in-the-loop-hitl/


[13] https://www.modernanalyst.com/Careers/InterviewQuestions/tabid/128/ID/6238/What-is-Human-In-the-Loop-HITL.aspx


[14] https://www.techopedia.com/definition/human-in-the-loop-hitl


[15] https://tallyfy.com/human-in-the-loop/


[16] https://hdsr.mitpress.mit.edu/pub/812vijgg/release/3


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