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Ensure Your AI Hiring Systems Are Fair, Compliant, and Defensible

Identify hidden bias, meet regulatory requirements, and gain confidence in your hiring decisions.

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The Risk

Most organizations using AI in hiring today:

  • Cannot clearly explain how decisions are made

  • Have not tested for bias across protected groups

  • Are unprepared for emerging regulations

 

This creates real exposure:

  • Legal risk under laws like NYC Local Law 144

  • Reputational damage if bias is discovered

  • Loss of qualified candidates due to flawed systems

 

If you cannot explain your AI decisions, you cannot defend them.

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What This Audit Delivers

A structured, practical evaluation of your AI hiring systems—focused on risk, fairness, and compliance.

🔍 1. Bias Identification

 

We evaluate your systems to detect:

  • Disparate impact across candidate groups

  • Patterns of exclusion (including disability-related barriers)

  • Proxy variables that may introduce unintended bias

👉 Outcome:
You understand
where bias exists—and how it affects decisions

📜 2. Regulatory Readiness

 

We assess your alignment with:

  • NYC Local Law 144 (Automated Employment Decision Tools)

  • EU AI Act (high-risk AI systems)

  • Emerging U.S. state-level AI regulations

👉 Outcome:
You know whether your systems are compliant—or exposed

📊 3. Explainability & Transparency

 

We evaluate:

  • Whether your AI decisions can be explained

  • What documentation exists (or is missing)

  • How your system would hold up under scrutiny

👉 Outcome:
You can confidently explain and justify hiring decisions

🧾 4. Audit-Ready Documentation

You receive:

  • A clear audit report

  • Risk summary (high / medium / low)

  • Recommended actions

👉 Outcome:
You are prepared for:

  • Internal reviews

  • External audits

  • Regulatory inquiries

🧩 What We Review

Depending on your setup, this may include:

  • Resume screening tools

  • Candidate ranking algorithms

  • Assessment platforms

  • Interview scoring systems

👤 Why This Is Different

 

Most audits focus only on technical metrics.

I bring:

  • Deep HR tech and AI governance experience

  • A practical understanding of how hiring systems actually work

  • A lived perspective on how bias impacts real people

This is not a theoretical review—it’s a real-world evaluation of risk and impact.

📈 Business Impact

This isn’t just about compliance—it’s about better outcomes.

  • Reduce legal and regulatory risk

  • Improve hiring quality and fairness

  • Strengthen employer brand

  • Build trust with candidates and stakeholders

🛠️ How It Works

Step 1: Discovery

Understand your hiring process and tools

Step 2: Evaluation

Analyze systems for bias, compliance, and explainability

Step 3: Report

Deliver findings, risks, and clear recommendations

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