AI Hiring Bias Audit for Manufacturing Companies in New York

New York's manufacturing sector, while smaller than its service economy, remains significant — employing over 70,000 workers across food production, fashion and apparel, advanced manufacturing, and industrial operations primarily in Brooklyn, the Bronx, and Queens. As these employers adopt AI tools to screen skilled trades workers, machine operators, and production staff, Local Law 144 compliance becomes essential.

Manufacturing hiring in New York faces a unique labor market. The city's manufacturers compete for skilled trades workers, CNC operators, quality inspectors, and production supervisors in a tight labor market. AI tools help sort through applications efficiently, screening for certifications, experience levels, physical capability requirements, and shift availability. Each of these automated screening criteria can introduce bias.

Manufacturing-specific AI bias risks are well-established. Physical ability assessments administered or scored by AI have documented gender and age bias — systematically screening out women and older workers even when the actual job duties don't require the assessed physical capabilities. Certification verification algorithms can have geographic and socioeconomic disparities, disadvantaging workers trained through community programs rather than formal apprenticeships. Shift scheduling algorithms that screen for "open availability" disproportionately affect single parents, caregivers, and individuals with religious observance requirements. Safety record screening tools have been shown to correlate with race in ways that don't reflect actual safety performance.

Under Local Law 144, any manufacturer in New York City using these AI tools must conduct an annual bias audit and publish the results. The law applies regardless of company size — from large food production facilities to small specialty manufacturers. Candidates must be notified when an AEDT is used in their evaluation process.

New York manufacturers must also consider OSHA anti-retaliation protections, union requirements around non-discriminatory hiring practices, and the New York State Human Rights Law. Federal EEOC guidance on AI in employment applies to all hiring decisions, including blue-collar and skilled trades positions.

OnHirely provides manufacturing companies with a straightforward bias audit process. Upload your hiring data — even from manual tracking systems — and receive a comprehensive analysis across all protected categories. Our reports satisfy Local Law 144 requirements and provide actionable insights to improve hiring fairness across production, maintenance, and operations roles.