Do not rely only on the provider demonstration.
Assess the impact of a workplace AI project before deployment
Identify potential effects using six psychosocial-risk dimensions from the Gollac framework and three AI-specific mechanisms: opacity, supervision burden and skill erosion.
At the end: a nine-dimension profile, critical signals and a prioritised prevention plan.
Exploratory, non-psychometric tool. The results support discussion and prevention planning. They are not a regulatory, clinical or legal validation.
Answer for the use that is actually planned
Consider the most exposed group and the most demanding operating conditions. Do not enter organisation, person or provider names.
The report should remain non-identifiable.
Project impact profile
Nine dimensions
Points to address first
Archiving
Keep a dated record
Use the print button and choose Save as PDF in your browser.
A discussion aid, not an automated verdict
Six psychosocial-risk dimensions
Intensity, emotional demands, autonomy, social relations, conflicts of values and insecurity.
Three AI-specific axes
Opacity and contestability, cognitive supervision burden and skill erosion.
Early occupational-health involvement
Occupational-health and safety expertise can analyse tasks, discretion, workload and stop criteria before deployment.
View methodological references and limitations
The grid adapts the Gollac psychosocial-risk framework to AI-driven work transformation. The three AI-specific axes are an empirical and expert construction and are not psychometrically validated.
INRS · psychosocial-risk factors · EU-OSHA · AI-based worker management · NIST AI RMF