Model Monitoring
What is model monitoring?
Model monitoring is the ongoing practice of watching an AI system in production, tracking accuracy, drift, and fairness over time, so problems are caught and corrected rather than left to accumulate.
Why it matters in hiring
Models can degrade or develop bias as the data around them changes. Monitoring is how responsible employers keep AI tools accountable after launch, not just at build time. A tool that was fair on day one can drift, and only monitoring will catch it.
Example
An AI tool performs well at launch, but a year later the mix of applicants has shifted and its outputs start skewing. Because the team monitors outcomes over time, they notice the drift, investigate, and correct it before it affects many candidates.
How uRecruits approaches it
Ongoing monitoring is part of uRecruits' Responsible AI Program (RAP), which is in development and described here as designed and planned. uRecruits' architecture reduces monitoring risk by keeping matching deterministic and humans in every decision.
