Definition
Measurement of AI quality and failure modes against the real task, such as accuracy, completeness, latency and review effort.
Why it matters
This concept requires clear ownership, integration and controls in a real implementation.
Measurement of AI quality and failure modes against the real task, such as accuracy, completeness, latency and review effort.
Measurement of AI quality and failure modes against the real task, such as accuracy, completeness, latency and review effort.
This concept requires clear ownership, integration and controls in a real implementation.