Automated hiring screening can reject qualified applicants before recruiters even review their skills. This video explores why explainable hiring decisions matter and how recruitment teams can examine evidence instead of trusting a single score. Using the 2023 iTutorGroup discrimination settlement and research on rigid job description filters, we examine how automated screening rules can exclude qualified candidates and why regulators are paying closer attention to AI recruitment systems. We also explore how separating job match signals from CV fraud risk can help recruiters make more informed decisions while maintaining human oversight and checks for unfair exclusion. CrossClassify CV Checker provides three to five job match signals alongside separate CV risk levels and supporting evidence, giving recruiters specific findings to review and verify rather than relying on an unexplained score.