TRV-2026-1598Certified recordPeer-reviewed

Generative artificial intelligence in ergonomic risk assessment: A comparative analysis of REBA scores by human and AI raters

BackgroundWork-related musculoskeletal disorders are a major occupational health concern, and REBA is widely used to evaluate postural risk. The role of generative artificial intelligence (AI) in REBA scoring remains insufficiently examined.ObjectiveTo explore REBA scoring differences between a certified human ergonomist and three generative AI systems under controlled multimodal input conditions.MethodsSeventy-seven anonymized posture images from four task categories were evaluated by a human reference evaluato…

Labor · Problem Space — documented harm · certified 2026-10-16 · v1 · article view · machine-readable

Current reading — problem

Three generative AI systems produced systematic, body-region-specific REBA scoring differences from a certified human ergonomist, so unsupervised use in workplace ergonomic assessment could misstate postural risk.

What this doesn’t fix

The authors label the findings exploratory and say further validation is needed before AI-assisted REBA assessment is used in workplace practice.

Evidence

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Truvace Impact Record TRV-2026-1598, v1: “Generative artificial intelligence in ergonomic risk assessment: A comparative analysis of REBA scores by human and AI raters.” Truvace, 2026-10-16. /record/TRV-2026-1598 (accessed at citation time). sha256 89b1c32bb7ec00a4…

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