REDUCING INDUSTRIAL RISK WITH AI AND AUTOMATION

Abstract

The literature review delves into the realm of "Reducing Industrial Risk with AI and Automation" by exploring the historical context and limitations of traditional risk management methods. It extensively investigates recent technological advancements in AI and automation and their applications across various industries. The integration of AI in industrial safety, emphasizing risk assessment tools and predictive maintenance, is thoroughly examined. The role of automation in enhancing human-machine interaction for safer operations is explored, revealing existing gaps in the literature. The methodology section justifies the research approach, emphasizing data collection techniques. Industrial risk factors are identified and analyzed, supported by case studies illustrating real-world examples. The overview of AI and automation technologies relevant to risk reduction includes discussions on their advantages and limitations. The case studies section presents in-depth analyses of successful risk reduction through AI and automation. Proposed implementation strategies address factors like cost and adaptability. Ethical considerations regarding AI and automation in safety-critical environments are discussed. The conclusion summarizes key findings, identifies current challenges, and offers recommendations for future research, highlighting the imperative for industries to strategically adopt AI and automation for comprehensive industrial risk management.