Value Engineering In Artificial Intelligence
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Value Engineering in Artificial Intelligence
This book constitutes the proceedings of the Second International Workshop on Value Engineering in Artificial Intelligence, VALE 2024, held in Santiago de Compostela, Spain, during October 19–24, 2024. The 16 full papers presented were carefully reviewed and selected. The papers have been grouped into these topical sections: value identification; value-driven decision making; and ethical issues, including explainability.
Value Engineering in Artificial Intelligence
This book constitutes the post-conference proceedings of the First International Workshop on Value Engineering in Artificial Intelligence, VALE 2023, held in Krakow, Poland, on September 30, 2023. The 16 full papers presented were carefully reviewed and selected. The papers have been grouped into four themes, addressing a number of research questions for each: I. Frameworks for norms and values: What are existing or new frameworks for norms and values and how can they be represented in AI systems in order to make these systems norm- and value-aware? II. Detection of moral values: Given an existing AI system, how can we figure out whether its behavior is aligned with human values? III. Learning and engineering of value-aligned policies: How can policies for implementing norms and values be acquired or designed? IV. Implementation of norms: How can norms be implemented in concrete AI applications?
Value Engineering Techniques and Applications
"Value Engineering Techniques and Applications" "Value Engineering Techniques and Applications" is a comprehensive guide to the evolving discipline of value engineering, offering readers a thorough exploration of its principles, methodologies, and real-world impact. The book traces the historical development of value engineering from its origins in manufacturing to its adoption across diverse engineering and business domains. By addressing foundational concepts—function, cost, and value—it provides a clear framework for value-based decision making, and situates value engineering within the broader context of related methodologies such as Lean, Six Sigma, and Design for X, while also examining ethical and professional standards that underpin the discipline. Through a structured presentation of advanced techniques, the book introduces readers to both the art and science of function analysis, creative solution generation, and rigorous quantitative evaluation. Readers gain in-depth knowledge of hierarchical function analysis, FAST diagrams, and value-weighted prioritization, as well as proven practices in creative workshops, TRIZ, and digital collaboration. The book further demystifies critical topics such as cost modeling, life cycle assessment, risk analysis, and the integration of modern digital technologies—including artificial intelligence, cloud platforms, and Internet of Things—into the value engineering process. Moving beyond theory, "Value Engineering Techniques and Applications" delivers practical guidance for implementing value engineering programs across a range of industries, from construction and aerospace to healthcare and IT. It examines strategies for embedding value engineering throughout the product lifecycle, fostering stakeholder engagement, and achieving sustainable outcomes aligned with global standards and Sustainable Development Goals. With its forward-looking perspective on digital transformation, emerging technologies, and global trends, this book is an indispensable resource for engineers, managers, and organizations seeking to drive innovation, maximize value, and build resilient, value-centric enterprises.