Human-in-the-Loop
Problem
Fully automated AI systems risk critical errors and lack transparency. Users need review and override capabilities for safety and trust in high-stakes situations.
Solution
Design systems for human intervention, review, or approval of AI outputs, especially for critical decisions. Provide clear handoff points, easy override mechanisms, and transparent explanations for confident AI collaboration.
Examples in the Wild
Interactive Code Example
Design This Pattern
Implementation & Considerations
Implementation Guidelines
Clearly indicate when human review is required or possible.
Facilitate easy override, correction, or feedback on AI outputs.
Log interventions for transparency and improvement.
Explain AI decisions to support human judgment.
Design workflows that minimize AI-human handoff friction.
Design Considerations
Balance efficiency with safety; too many interventions can slow workflows.
Avoid overwhelming humans with excessive review requests.
Address potential bias in AI and human decisions.
Provide training and support for users in review roles.
Monitor and refine human-in-the-loop trigger thresholds.