Insights on ethical AI use, bias mitigation, and building fair, transparent hiring processes.
The main AI hiring laws and their status as of September 2026 — NYC Local Law 144, Illinois, California, Colorado, US federal law, the EU AI Act, GDPR and the UK — plus an agency compliance checklist.
The common types of hiring bias, what research shows about bias in screening, a four-step method to reduce it, blind hiring and training in context, and the specific risks of AI.
What explainable AI means in recruiting, why it matters legally and commercially, the five things to inspect on one candidate in a vendor demo, and what a real explainable candidate record looks like.
The main types of AI hiring software, a seven-area evaluation built on "demonstrated or not shown", five questions that separate vendors quickly and a bounded pilot plan with acceptance criteria.
How AI is used across the recruitment process, assistance vs automation, the real benefits and risks, the rules that apply and a five-phase plan for adopting AI without disrupting delivery.