About · The author and the approach

Charles Broutin, occupational physician working at the intersection of AI and real work.

As an occupational physician, AI lead for the French Society of Occupational Health, author and trainer, I develop resources to examine professional AI uses and their effects on health.

Clinical practiceCollective preventionIndependent resource
Professional profileParis · France
Professional portrait of Dr Charles Broutin

Dr Charles Broutin

Occupational physician · AI lead for the French Society of Occupational Health

RoleSPSTN · Training & Methods Unit
PhysicianOccupational healthPractice grounded in contact with workers, occupations and organisations.
SFSTArtificial intelligence leadMonitoring and knowledge-sharing for occupational health professionals.
SPSTNTraining & methodsHead of the unit devoted to tools, practices and training.
IndependentEditorial projectDated, sourced content that is corrected as evidence develops.

01 / Professional background

From occupational medicine to artificial intelligence.

Physician, trainer, author and AI lead

Research, monitoring and knowledge-sharing devoted to AI uses at work.

AGI Strategy · BlueDot Impact

Completed training on systemic risks from AI, their assessment and governance frameworks.

Medical residency thesis · Bossons Futé Prize

Research on using large language models to identify wording defects in occupational physician recommendations.

University diploma in artificial intelligence in health

Additional training to understand models, their uses and limits in health.

Occupational medicine · University of Lille

Clinical and preventive training focused on the links between health, activity and organisation.

02 / Training & approach

Training to broaden my approach to prevention.

September 2026 · Course completed

AGI Strategy · BlueDot Impact

Course completed
AGI
Strategy
BlueDot Impact · 2026
A stronger conviction
“Occupational health is now also an AI safety issue.”

Preventing the effects of artificial intelligence requires examining individual experience, the organisation of work and the systemic risks that could affect entire populations.

I completed BlueDot Impact’s AGI Strategy course to complement my work on AI-induced psychosocial risks, which had previously focused mainly on effects at the individual worker level.

Broadening the frame without losing sight of real work

Throughout the course, we collectively explored the different pathways through which advanced AI systems could cause harm, the potential scale of their consequences, the fragility of current safeguards and the time available to strengthen them.

Rapid advances in model capabilities and the rise of agents able to coordinate increasingly complex tasks mean that analysis can no longer be confined to the individual workplace, or even to a single organisation. Emerging signals concerning employment, particularly among early-career workers, reinforce the need for vigilance.

This reflection led me to consider these transformations as a potential major public health issue. Worldwide, hundreds of millions of workers could gradually face greater work intensity, increased emotional demands, reduced autonomy, deteriorating workplace relationships, value conflicts or greater employment insecurity.

03 / Updates & newsletters

Follow my analysis and updates.

Resources for following professional AI uses, new evidence and the questions they raise for occupational health.