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Human in the loop (HITL) refers to a design or operation process or system where human intervention or oversight is involved in certain activities that may also utilize machine learning, artificial intelligence, or automation. In other words, HITL is a concept that describes the collaboration between human decision-making and machine intelligence.

In “human-in-the-middle” systems, humans are responsible for supervising, monitoring, and directing the actions of machines or software algorithms. Human oversight is critical for ensuring that the automated systems are working correctly, making ethical decisions, ensuring the legality of the action, and achieving the desired business outcomes. The human in the loop concept can be used in a variety of applications such as back office process systems, autonomous vehicles, medical diagnosis, fraud detection, and many more.

The HITL approach is often used in situations where it is crucial to balance the benefits of automation with the limitations of machines. By incorporating human oversight, "human in the loop" can enhance the accuracy, efficiency, and safety of automated systems while reducing errors and risks.

Some quick points about the human in the loop approach:

• HITL is a model of human-machine interaction where a human is involved in the decision-making process of a partially automated system.

• In HITL systems, a human user oversees and monitors the automated process and makes final decisions based on the results produced by the system.

• HITL is commonly found in fields such as machine learning and artificial intelligence (AI).

• HITL helps ensure that the system is making accurate and appropriate decisions.

• HITL is a compromise between fully automated systems and fully human-driven systems.

• HITL improves the speed and accuracy of decision-making while also ensuring that important factors such as ethics, morality, and context are taken into account by the human.