AI in worker management: involving people to prevent risks
Risks such as heightened surveillance, privacy concerns or time pressure linked to algorithmic and AI-based worker management (AIWM) systems can lead to worker stress, social isolation and blurred work-life boundaries. Worker participation can help in identifying, preventing and mitigating psychosocial risks derived from the use of AIWM, according to our new report.