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Using AI to Address Demographic-Specific Challenges in Manual Handling Safety

Tiago Manuel Horta Reis da Silva (King's College London, UK)

EISBN13: 9798337355702|DOI: 10.4018/979-8-3693-9301-7.ch016

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Abstract

This chapter explores the application of Artificial Intelligence (AI) in addressing demographic-specific challenges in manual handling safety, focusing on age, gender, and physical capability variations in the workforce. The chapter examines AI-driven ergonomic solutions, predictive analytics, and adaptive training programs. It highlights case studies showcasing AI's role in reducing injury rates and enhancing safety protocols tailored to diverse worker demographics. The discussion concludes with the potential for AI to revolutionise occupational health and safety, ensuring equitable and personalised interventions in manual handling practices.

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Using AI to Address Demographic-Specific Challenges in Manual Handling Safety

Abstract