1st Edition
Artificial Intelligence in Workplace Health and Safety Data-Driven Technologies, Tools and Techniques
In today's dynamic workplace environment, ensuring the safety and well-being of employees has never been more critical. This book explores cutting-edge technologies intersecting with workplace safety to deliver effective and practical results.
Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques offers a comprehensive roadmap for professionals, researchers, and practitioners in work health and safety (WHS), revolutionizing traditional approaches through the integration of data-driven methodologies and artificial intelligence. Covering the foundations and practical applications of data-driven WHS and historical perspectives to current regulatory frameworks, it investigates the key concepts of data collection, management, and integration. Through real-world case studies and examples, readers can discover how AI technologies such as machine learning, computer vision, and natural language processing are reshaping WHS practices, mitigating risks, and optimizing safety measures. The reader will learn applications of AI and data-driven methodologies in their workplace settings to improve safety. With its practical insights, real-world examples, and progressive approach, this title ensures that readers are not just prepared for the future of WHS but empowered to shape it for better.
This text is written for professionals and practitioners seeking to enhance workplace safety through innovative technologies. This extends to safety professionals, HR personnel and engineers across different sectors.
Contents
Preface
About the author
Chapter 1: The Transformation of Work Health and Safety Through Data-Driven Technologies and Innovation
Chapter 2: Optimizing Workplace Health and Safety: Strategic Data Collection and Management Techniques
Chapter 3: Strategic Analytics for Proactive Workplace Safety Management
Chapter 4: Advanced Integration of Artificial Intelligence in Workplace Health and Safety Management
Chapter 5: Navigating the Future: Technological Advancements and Implementation Challenges in Workplace Health and Safety
Index
Biography
Mohammad Yazdi is Senior Researcher and Tutor at the School of Engineering at Macquarie University, Australia and Lecturer at the School of Computing, Engineering and Physical Sciences at the University of West Scotland, United Kingdom. He holds a BSc in Safety and Technical Protection Engineering from the Petroleum University of Technology in Abadan, Iran, an MSc in Industrial Engineering from the Eastern Mediterranean University in Famagusta, Cyprus, and a dual Ph.D. partnering with the Centre for Risk, Integrity, and Safety Engineering (C-RISE) at the Memorial University of Newfoundland, Canada, and Macquarie University in Australia. Prior to his academic career and 2012 to 2016, Dr Yazdi worked in various roles including as a Firefighter, Safety Officer, WHS/OHS Advisor, and Auditor, serving vital sectors including power plants, and the oil and gas industry. His research interests include system safety, risk assessment, resilience, process integrity, and asset management, especially concerning renewable and non-renewable energy infrastructure.
