Explainable AI
Candidate Scoring
Never wonder why a candidate was ranked #1 again. Get a full breakdown of skills, experience gaps, and culture fit for every single score.
"Matches 9/10 core technical requirements including specific experience with Next.js and Tailwind."
Defend Every Decision
The era of "black box" algorithms in HR is ending. Under new European GDPR guidelines, the NYC AI Bias Law, and the upcoming EU AI Act, using opaque algorithms to make automated employment decisions is highly restricted.
If a candidate asks "Why was I rejected?", answering "Our algorithm gave you a 42%" is no longer an acceptable or legal response. You must be able to explain the reasoning. That is where Explainable AI (XAI) comes in.
How EvalMetric's Transparent Engine Works
EvalMetric evaluates CVs strictly based on the requested Job Description variables: Required Skills, Years of Experience, Education, and Certifications. It strips away demographic data to prevent implied bias.
When a score is generated (e.g. 85/100), the engine physically generates an audit log in plain text explaining the calculation:
- Strengths matched: Candidate possesses React.js (5 years) and Node.js (3 years).
- Missing requirements: Lacks explicit mention of Kubernetes orchestration.
- Red flags: 14-month employment gap between 2023 and 2024.
Audit-Ready Reports
Every candidate screened yields a full PDF/JSON report comprising their score, the exact text evidence pulled from their CV, and the logic bridging the two.
100% Privacy & Security
EvalMetric is ISO 27001 certified. AI models run in sandboxed environments, meaning your candidate data is never used to train third-party public models.
Make hiring transparent.
Protect your agency from bias liabilities while speeding up your screening by 80%. See how transparent AI changes the game.
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