The future role of big data and machine learning in health and safety inspection efficiency


This article considers how labour inspectorates might be able to use big data to select targets for health and safety inspections effectively. It explains how authorities currently select objects for inspection and use digital developments for identifying high-risk companies.

The article looks at examples of relevant technologies in practice, including a tool developed by the Norwegian Labour Inspection Authority that appears to target high-risk companies with a significant degree of precision.

It identifies challenges, and concludes that a combination of artificial and human intelligence is likely to be the ideal solution for risk-based targeting.

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