Compliance · July 18, 2026 · 5 min read
Adverse impact and the four-fifths rule, explained
Adverse impact is when a selection process screens out a protected group at a disproportionate rate. The four-fifths rule is the standard first test — here's how it works and how to monitor it.
← Part of Hiring AI is high-risk AI: building for NYC LL144 and the EU AI Act from day one
A deep dive from our guide to compliance-first hiring AI: the concept every bias audit turns on.
What adverse impact is
Adverse impact occurs when a neutral-looking selection process screens out a protected group at a substantially higher rate than others. It can happen with no intent to discriminate — which is exactly why it must be measured, not assumed away.
How the four-fifths rule works
Compare each group's selection rate to the highest group's. If the ratio falls below 0.8, that is a flag. Example: if the highest group passes at 60% and another at 40%, the ratio is 0.67 — below four-fifths, so the process warrants review.
The rule traces back to the 1978 US Uniform Guidelines on Employee Selection Procedures, and it is deliberately blunt — a screening heuristic, not a statistical proof. It has known failure modes: with small candidate counts a single decision can swing the ratio wildly, and a process can clear 0.8 and still be unfair, or fall below it for reasons unrelated to the assessment. This is exactly why regulators (and NYC's Local Law 144) treat a failed ratio as a trigger to investigate, not an automatic verdict.
The four-fifths rule is a smoke alarm, not a verdict. It tells you where to look; it does not tell you the process is fair, or that it is broken.
Monitoring it continuously
Impact ratios drift as your candidate pool changes, so a one-time check is not enough. Per-role pass-rate monitoring — the kind LL144 expects — turns fairness from an annual scramble into a standing signal.
Written by
Jakir Patel · Founder, Hanzomon
Building H-Evaluate — AI-native, quality-gated hiring assessments. Writes about assessment engineering, hiring integrity and compliance-first AI.