Human in the Loop (HITL)
Mandatory human review of generative AI outputs before official use.
Definitions (4)
A requirement that outputs of Generative AI systems must be reviewed by humans prior to each use in an official City capacity.
Human-in-the-Loop (HITL) is an artificial intelligence approach that requires human interaction and oversight to ensure the proper functioning and ethical application of AI systems. It emphasizes that AI-generated output should be reviewed and validated by human subject matter experts, especially in critical legal processes.
Human-in-the-Loop (HITL) is a principle advocating for human control over AI systems and human responsibility for final decisions made with AI support. It ensures AI acts as a tool to complement human expertise, not replace it.
A governance and design principle requiring meaningful human oversight, intervention, or escalation mechanisms during an AI system's operation so humans can monitor, override, or halt automated decisions where appropriate. The document frames human-in-the-loop/on-the-loop controls as essential for accountability, responsible procurement, and mitigation of harms in public-sector deployments.
Related Terms
Human-in-the-loop (Human Oversight)
Design ensuring human oversight and intervention....
Human‑in‑the‑loop
Human oversight modality allowing human intervention in AI decisions....
Responsible Experimentation
Controlled, risk-aware testing and use of AI tools by staff....
Human involvement
Degree of human review, approval, or override of AI outputs....
AI Guiding Principles
City values and conduct standards governing AI use....