Before deployment · exploratory tool

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.

Method and limitations
10 minindicative duration18questionsPDFprintable reportLocalno names requested

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.

Guided questionnaire

Pre-deployment assessment

No identifying data requested
Before you begin

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.

01
Real situation

Do not rely only on the provider demonstration.

02
No identifying information

The report should remain non-identifiable.

The system is already deployed
Step 1

Deployment context

These categories contextualise the questions and the generated report.

Main sector
Organisation size
Project stage
Population directly affected
Assessment dateThis date will appear in the report and suggested filename.
What will the AI be used for? Select all that apply
Question 1
Exploratory result

Project impact profile

0/100
Mapping

Nine dimensions

Priorities

Points to address first

Generated report

Prioritised prevention plan

Archiving
Archive

Keep a dated record

Use the print button and choose Save as PDF in your browser.

Open dated follow-up
Method, limitations and sources

A discussion aid, not an automated verdict

01

Six psychosocial-risk dimensions

Intensity, emotional demands, autonomy, social relations, conflicts of values and insecurity.

02

Three AI-specific axes

Opacity and contestability, cognitive supervision burden and skill erosion.

03

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

Tool designed by Dr Charles Broutin, occupational physician and AI representative for the French Society of Occupational Health.

Search

Enter at least two characters.