Frequently Asked Questions

Everything you need to know about AI hiring bias audits, compliance, and OnHirely.

General

Compliance

Who needs an AI hiring bias audit?

Any employer or employment agency that uses an Automated Employment Decision Tool (AEDT) to screen candidates or employees for hiring or promotion nee...

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What are the penalties for not auditing AI hiring tools?

Penalties vary by jurisdiction: NYC Local Law 144: $500 for the first violation, $500-$1,500 for each subsequent violation. Each use of an unaudited ...

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How often must I conduct a bias audit?

Under NYC Local Law 144, bias audits must be conducted at least annually. The audit must have been completed within the past year to be valid. Howeve...

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When do AI hiring bias audit laws take effect?

Key dates for AI hiring bias audit regulations: Already in effect: - NYC Local Law 144 — July 5, 2023 (actively enforced) - Illinois AIVRA — January ...

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Can Small Companies Skip AI Hiring Bias Audits?

Company size does not automatically exempt you from AI hiring bias audit requirements. The key factor is whether you use automated tools in hiring dec...

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Do AI Hiring Regulations Apply to International Hiring?

Yes, AI hiring regulations can apply to international hiring in several ways: Location of the candidate matters: - NYC LL144 applies when screening c...

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How Does GDPR Affect AI Hiring Bias Audits?

GDPR (General Data Protection Regulation) intersects with AI hiring bias audits in important ways: Data collection challenges: - GDPR requires a lega...

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Technical

What data do I need for a bias audit?

To conduct a meaningful bias audit, you need candidate pipeline data that includes: 1. Candidate identifier — anonymous ID (no names or PII required)...

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How should I collect candidate demographic data?

Demographic data for bias audits should be collected through voluntary self-identification surveys, following EEO (Equal Employment Opportunity) guide...

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What is the minimum sample size for a bias audit?

There is no legally mandated minimum sample size, but statistical reliability requires sufficient data: - Minimum recommended: 30 candidates per demo...

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What Should I Do If My Audit Reveals Bias?

Discovering bias in your AI hiring tools is actually a positive outcome — it means you caught the issue before regulators did. Here is a structured ap...

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What Is the Difference Between Disparate Impact and Disparate Treatment?

Disparate Treatment is intentional discrimination — treating candidates differently because of their protected characteristics (race, gender, age, etc...

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What Is the Difference Between a Bias Audit and Ongoing Monitoring?

A bias audit is a formal, point-in-time assessment of your AI hiring tools. It produces a compliance report that documents whether your tools meet reg...

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What Is Intersectional Bias in AI Hiring?

Intersectional bias occurs when discrimination affects people at the intersection of multiple protected characteristics more severely than any single ...

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How Can AI Resume Screening Introduce Bias?

AI resume screening can introduce bias through multiple mechanisms: Name and demographic signals: - Names can signal gender, ethnicity, and national ...

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Are AI Video Interview Tools Biased?

AI video interview analysis tools carry significant bias risks: Facial analysis concerns: - Facial recognition accuracy varies significantly by skin ...

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How Should I Collect Demographic Data for Bias Audits?

Collecting demographic data for bias audits requires balancing compliance needs with candidate privacy: Best practices: 1. Voluntary self-identificat...

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