What Every Engineer Should Know About Risk Engineering and Management

Risk Engineering addresses System Complexity and Engineering Dynamics, highlighting the need to address AI-presented failures. It extends the term Risk Engineering to Complex Systems and includes new chapters on System Complexity, AI, and Causal Risk Assessment.

Format: Hardback
Length: 240 pages
Publication date: 31 July 2023
Publisher: Taylor & Francis Ltd

Risk Engineering is a field that deals with the analysis and management of risks associated with complex systems. It encompasses a wide range of techniques and approaches to identify, assess, and control risks, including risk assessment, risk management, and risk mitigation.

One of the challenges faced by Risk Engineering is dealing with System Complexity and Engineering Dynamics. Complex systems are characterized by their interdependence, feedback loops, and nonlinear behavior, which can make them difficult to model, predict, and control. As such, Risk Engineering must consider the complex interactions between different components of a system and the potential for cascading failures.

Another challenge is the increasing use of AI in various industries, which presents new and unique ways of failure that need to be addressed. AI systems can be highly complex and rely on a vast amount of data and algorithms to make decisions. However, these systems can also be vulnerable to errors, biases, and unforeseen consequences, which can lead to catastrophic failures. Risk Engineering must therefore incorporate AI into its risk management framework to identify and mitigate the risks associated with AI systems.

In this new edition of Risk Engineering, the term "Risk Engineering" is extended to Complex Systems. Complex systems are characterized by their interconnectedness, interdependence, and complexity, which makes them difficult to understand, predict, and control. Risk Engineering in Complex Systems must consider the interactions between different components of a system and the potential for cascading failures.

The book also includes new chapters on System Complexity, AI, and Causal Risk Assessment. These chapters discuss the challenges of dealing with complex systems and the role of AI in risk management. They also provide practical approaches to assessing and managing risks in complex systems, including the use of decision trees and fault diagnosis.

Other chapters in the book have been updated to make the book more current and relevant to the latest developments in Risk Engineering. These updates include discussions on risk assessment in the context of climate change, risk management in the healthcare industry, and risk mitigation in the transportation sector.

Overall, Risk Engineering is a crucial field that plays a vital role in ensuring the safety and reliability of complex systems. This new edition of Risk Engineering provides a comprehensive and up-to-date introduction to the field, covering the challenges of System Complexity and Engineering Dynamics, the role of AI in risk management, and practical approaches to assessing and managing risks in complex systems.

Weight: 453g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032442105
Edition number: 2 ed