Warden Watch

New Jersey: Guidance on Algorithmic Discrimination under the Law Against Discrimination (DCR)

New JerseyGuidanceIn force

The New Jersey Division on Civil Rights (DCR) and Office of the Attorney General issued official legal guidance clarifying the application of the New Jersey Law Against Discrimination (LAD) to algorithmic discrimination resulting from automated decision-making tools and artificial intelligence. The guidance applies statewide across employment, housing, places of public accommodation, credit, and contracting. It covers employers, housing providers, creditors, and other entities subject to the LAD. Under existing law, covered entities are strictly prohibited from using automated tools that result in disparate treatment or disparate impact against protected classes, or that impede reasonable accommodations for disability, pregnancy, breastfeeding, or religion. The guidance document does not create new statutory requirements beyond the LAD, nor does it impose direct statutory liability on software vendors. However, deployers remain fully liable for discriminatory outcomes even when relying on third-party tools.

Impact

What this means for HR and vendors

HR and recruitment teams

HR and recruitment teams using AI or automated decision-making tools for job advertising, resume screening, hiring, promotion, performance evaluation, or termination must ensure these tools do not produce discriminatory outcomes. Employers cannot escape liability by using third-party software or claiming a lack of technical understanding. HR teams should proactively evaluate software for bias, verify that automated productivity or break-tracking tools accommodate disability or pregnancy needs, and establish procedures to identify less discriminatory alternatives before deploying algorithmic tools.

HR technology vendors

While the New Jersey Law Against Discrimination places primary statutory liability on covered deployers rather than technology developers, HR technology providers face significant indirect compliance demands. Employers seeking to minimize LAD liability will increasingly require vendors to supply proof of bias testing, data quality controls, and technical documentation. Providers should support clients by conducting pre- and post-deployment bias audits, designing tools that accommodate protected worker needs, and avoiding proxy variables that trigger disparate impact claims.

Key obligations

What organizations need to do

Practical obligation briefings focused on what the requirement is, who it applies to, when it applies and what teams should consider doing.

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