AI Governance
What is AI governance in hiring?
AI governance is the set of policies, controls, and accountability practices that keep an organization's AI systems transparent, fair, safe, and compliant, with clear ownership for how AI is built, used, and monitored. It is the structure that turns good intentions about responsible AI into something you can actually operate and prove.
Why it matters in hiring
Hiring AI is increasingly regulated, including NYC Local Law 144, EEOC guidance, and state laws in Illinois and Colorado. Governance is how employers stay accountable and reduce legal and bias risk, rather than deploying tools and hoping for the best.
Example
Before adopting an AI tool, a company maps where it will be used, checks it for disparate impact, requires that a person makes every decision, assigns an owner, and schedules regular reviews. That structure, not the tool itself, is what makes the use defensible.
How uRecruits approaches it
uRecruits is developing a company-funded Responsible AI Program (RAP) to formalize governance (human authority over decisions, explainable scoring, external bias auditing, and a published decision-log approach) designed to map to those US frameworks. RAP is in active development, and measures are described by their current status, not as completed certifications.
Legal & compliance note
This topic carries legal and compliance implications. The information here is general and US-focused. Verify against authoritative sources such as the EEOC and the U.S. Department of Labor, and consult employment counsel before acting.
