Human in the Loop
Human in the loop is a way of designing AI systems so that a person reviews, corrects or approves the AI's output before it leads to a decision or an action that affects someone.
Definition
Human in the loop means that people stay part of the process rather than leaving it fully to the machine. The AI may collect information, propose a score or draft a text, but a person looks at the result, can change it and is the one who validates it. Related ideas are human on the loop, where a person supervises and can intervene, and human in command.
To work in practice, the human step has to be real. That means the person has the time and the information to understand the output, the authority to disagree, and a record of what they decided. A simple check is the override rate: if reviewers never change anything, the review may have become a rubber stamp. Training reviewers on how the AI can be wrong also helps.
It matters most where a decision affects a person's job, education, health or money. Human oversight limits the harm of errors and bias, keeps accountability with identifiable people, and is expected by many regulations on AI. At Passisto, the AI holds the conversation and writes the report, and people review it and decide.
Key points
- A person reviews and validates AI output before it affects someone.
- The AI informs; the human decides and remains accountable.
- Oversight must be real: time, information, authority to override and a record of the decision.
- A near-zero override rate can mean the review is only a formality.
- It reduces the impact of errors and bias and supports regulatory expectations.
Example
A recruiter receives a report on each of 80 applicants after their AI-led voice interview. She reads the summaries, listens to extracts for the borderline candidates and decides who moves forward. She notes her reasons in the file, and two candidates the AI scored lower are invited to a second interview.
Frequently asked questions
Does human in the loop slow things down?
The AI does the time-consuming collecting and summarising, and people only review the result. Well designed, it is faster than doing everything manually and safer than automating the decision.
Is it enough to have a person click approve?
No. The person needs the information, the time and the real freedom to disagree. Otherwise the human step adds no protection.
Is human oversight required by law?
For some high-risk uses of AI, European rules expect it. Which rules apply to your case depends on your country and use, so check with a legal advisor.
Related terms
AI conversations, human decisions
Passisto holds structured voice conversations with candidates, employees, clients and students, and turns them into reports your team can act on.