Cross-cutting

AI applied to Occupational Health and Safety

AI Academy 10 a.m.

Introduction

This training course on AI Applied to Occupational Health and Safety It is essential, as artificial intelligence enables anticipate and mitigate accidents through predictive risk analysis, identifying patterns that contribute to safety. It also optimises management processes, reduces costs associated with accidents and promotes a a safer and more efficient working environment. Acquiring these skills provides a competitive advantage by integrating advanced technologies into workplace safety management, which is increasingly in demand in a market that prioritises innovation and the protection of employees’ wellbeing. The implementation of AI not only improves the accuracy of risk identification but also facilitates rapid, informed decision-making.

Objectives

  • Identify occupational hazards using advanced artificial intelligence techniques.

  • Applying AI to the continuous monitoring of working environments and minimise risks.

  • To analyse security data in order to predict y prevent accidents at work.

  • To develop AI strategies that improve the safety culture in companies.

  •  Assess AI technologies that optimise worker safety.

  • Implement AI solutions that promote a positive working environment sure y efficient.

Table of Contents

TEACHING UNIT 1. IDENTIFICATION AND SMART MONITORING OF OCCUPATIONAL RISKS

AI for early risk detection: How can hazards be identified in real time?
Predictive analytics: anticipating accidents and hazards
Personalised risk assessment using AI: tailored to the needs of each environment

TEACHING UNIT 2. AI TECHNOLOGIES FOR REDUCING ACCIDENTS AND IMPROVING SAFETY

The application of machine vision in workplace safety
Chatbots and virtual assistants for training and continuing professional development
Collaborative robots: reducing high-risk tasks with AI

TEACHING UNIT 3. PROACTIVE SAFETY MANAGEMENT AND CULTURE IN THE AGE OF AI

AI in the management of a culture of prevention: promoting safety habits
Data-driven decision-making for the prevention of occupational risks
Assessment of the effectiveness of AI in the prevention of workplace risks

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