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Maynard Nexsen attorney Elizabeth Edmondson details rising legal risks of AI in hiring

Published
Score
22

Why it matters

A new podcast episode featuring labor and employment attorney Elizabeth Edmondson of Maynard Nexsen examines the legal risks employers face when deploying AI tools in hiring. The discussion covers AI applications across the recruiting pipeline—candidate sourcing, resume screening, and applicant evaluation—and the regulatory framework governing their use. Key regulations include New York City's Local Law 144, which requires independent bias audits and candidate notification for AI-driven sorting or ranking, with penalties of $500 to $1,500 per day for violations. The Equal Employment Opportunity Commission has also entered the space, settling its first AI hiring discrimination lawsuit and issuing guidance that employers cannot defend discriminatory AI outcomes based solely on statistical correlations. Employers remain liable for discrimination caused by AI systems even when using third-party vendors.

The regulatory landscape remains fragmented. While federal legislation addressing AI in hiring does not exist, Illinois, Colorado, and California have enacted state-level restrictions. The EEOC's enforcement posture is still developing, though the agency's first settlement signals active scrutiny ahead. The full scope of vendor liability—whether developers, vendors, and employers all face joint exposure—remains unsettled in case law.

Employers should treat AI hiring tools as a compliance priority. The EEOC settlement and precedents like Amazon's discontinued resume-screening tool demonstrate real enforcement risk. Immediate steps include auditing existing AI systems for discriminatory effects, requiring independent bias testing before deployment, negotiating vendor contracts that allocate liability and mandate transparency, and maintaining human review of AI-driven decisions. Counsel should also monitor state and local regulations, as compliance requirements continue to expand.

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