Artificial intelligence can change tasks, deadlines, room for judgement, responsibilities and skills, with possible effects on occupational health.
These effects depend not only on technical performance, but on how a system is deployed, controlled and discussed. Prevention therefore means examining real work before deployment and after use begins: cognitive load, autonomy, surveillance, work quality, collective work and health. This concerns employers, worker representatives, public authorities and occupational safety and health professionals together.