Human-in-the-Loop (HITL) is an approach to Artificial Intelligence (AI) that puts humans at the center of the decision making process. HITL refers to the combination of both human and automated processes for carrying out tasks, particularly those that are outside the scope of what is possible with AI alone. HITL stands for “human-in-the-loop”, which indicates the human involvement in the system’s operations. In this approach, AI systems and algorithms are deployed to do as much of the work as possible, while still relying on humans to provide inputs, verify results, and review decisions.
HITL is a form of automation that integrates people and algorithms. This automation technique can help reduce costs and increase accuracy in many tasks. For example, an organization may be able to automate certain types of customer support interactions, such as answering simple questions, by using an AI-based chatbot that is monitored by a human operator. This can lead to cost savings, as the human operator can attend to more complex customer queries, while the AI platform handles the simpler interactions.
HITL can also be used to train AI systems and improve their accuracy. For instance, a company may use a HITL system to identify and label objects in a series of images. After the AI system has been trained, the human operator can review its results, providing feedback if there are any errors. This feedback is then used to update the system’s algorithms to become more accurate.
HITL is becoming increasingly prevalent in the AI field, as it is seen as a more efficient and reliable way of utilizing AI’s capabilities. By combining the strengths of humans and machines, HITL can provide more accurate insights, helping businesses improve their processes and reach their goals.
