Human-in-the-Loop
An AI system design approach where human experts review, validate, and guide automated analysis to ensure accuracy, context-awareness, and appropriate judgment.
Understanding Human-in-the-Loop
Human-in-the-loop systems combine AI efficiency with human expertise to achieve higher accuracy than either alone. In narrative intelligence, this means AI handles scale and pattern detection while human analysts provide cultural context, verify nuanced claims, and make judgment calls on ambiguous content. This approach is essential for reducing false positives, understanding local context, and maintaining ethical standards. Government-grade accuracy often requires human oversight to meet verification standards.
See Human-in-the-Loop in Action
Learn how Logically's narrative intelligence platform applies human-in-the-loop to protect organizations from information threats.