AI compliance for HR is the ongoing work of demonstrating that AI used in workforce decisions meets the legal, regulatory, and contractual requirements that apply to it: employment law, anti-discrimination law, data protection law, and AI-specific regulation such as the EU AI Act. Governance sets the rules; compliance proves they were followed.
Compliance is evidence-based. It requires documentation of what each AI system does and what data it uses, records of human oversight, bias testing results, retention and deletion logs, and the ability to answer a regulator's or a candidate's question about a specific decision. The obligations vary by jurisdiction (New York City's automated employment decision tools law, Illinois's AI video interview rules, and EU rules all differ), so multi-country employers need the compliance posture to be configurable per region rather than global by default. Darwinbox maintains model cards and AI Fact Sheets covering purpose, data used, fairness evaluation, and known limitations, shared with customers and auditors on request, and aligns its AI practices to GDPR and CCPA.