Predictive models, computer vision, and connected sensors are pushing workplace safety from lagging indicators toward early warning. The opportunity is real — fewer incidents, faster learning loops.
The risk is equally real: over-trust in models, brittle data pipelines, and diluted accountability when recommendations look authoritative. Safety leaders emphasise that guardrails and qualified human judgment must keep pace with capability.
Certification pathways that cover implementation, risk, and investigation give organisations a shared language for that balance.