Potential Benefits of Artificial Intelligence for the Analysis of Occupational Safety Risks

  • Project number: F 2536
  • Institution: Federal Institute for Occupational Safety and Health (BAuA)
  • Status: Ongoing Project
  • Planned end: 2025-01-31

Description:

Working environments are becoming increasingly complex due to digitalisation and the interconnection of work equipment. This makes it more difficult to assess occupational safety and health (OSH) risks. Furthermore, risk assessment is often heavily influenced by OSH experts‘ subjective experiences. The suitability of artificial intelligence (AI) methods is now to be investigated with a feasibility study in order to help workplace occupational safety and health professionals conduct reliable, comparable risk assessments.

At the outset, the data available for risk analysis in a selected company with an established OSH process will be compiled to set an exemplary benchmark. In parallel, OSH experts in small and medium-sized enterprises with simpler occupational safety and health structures will be surveyed to learn about their requirements of risk analyses. Suitable algorithms and procedures will subsequently be identified, and the most promising approach trialled in practice. Both the methodology’s performance and its acceptance and practicality will be examined during these trials.

The primary objective is to strengthen occupational safety and health in the workplace by ensuring AI-based support tools are available in future. The project will therefore also consider whether the results reached are applicable in related fields and how they could be utilised by other actors such as labour inspection institutions.

Publications

Potenziale Künstlicher Intelligenz zur Risikoanalyse im betrieblichen Arbeitsschutz

Publishing year: 2024

Suchergebnis_Format Article

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Interaction Design for Hybrid Intelligence: The Case of Work Place Risk Assessment

Publishing year: 2023

Suchergebnis_Format Article

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Potentials of Artificial Intelligence for occupational safety risk analysis

Publishing year: 2023

Suchergebnis_Format Article

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Potentiale Künstlicher Intelligenz zur Risikoanalyse im betrieblichen Arbeitsschutz

Publishing year: 2023

Suchergebnis_Format Article

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Research proposal: psychoacoustic modeling of noise annoyance in the workplace - application of machine learning

Publishing year: 2023

Suchergebnis_Format Article

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Supporting work place risk assessments by means of natural language processing

Publishing year: 2023

Suchergebnis_Format Article (in German)

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Using natural language processing to generate risk assessment checklists from workplace descriptions

Publishing year: 2023

Suchergebnis_Format Article

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Concept for Supporting Occupational Safety Risk Analysis with a Machine Learning Tool

Publishing year: 2022

Suchergebnis_Format Article

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Requirements for AI Support in Occupational Safety Risk Analysis

Publishing year: 2022

Suchergebnis_Format Article

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Contact

Division 2 "Products and Work Systems"

Phone: +49 231 9071-1971
Fax: +49 231 9071-2070