Trustworthy Generative AI
Fundamentals, Applications, and Future Directions
Buch in deiner Nähe kaufen
Beschreibung
This open-access book provides a comprehensive edited volume that brings together contributions from leading experts and practitioners in Trustworthy Generative AI. It is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation. It also delves into foundational principles and cutting-edge techniques, systematically investigating theoretical foundations with practical insights. Artificial Intelligence is reshaping industries, economies, and daily life. The rise of Generative AI powered by developments in large language models and natural language understanding, has created new opportunities in content creation, autonomous systems, and interactive dialogues. This book organizes these contributions into three parts: foundations, applications, and future directions.
Part I – Foundations covers the core scientific and technical principles of Trustworthy Generative AI. The chapters detail explainability, ethical frameworks, hybrid decision-making, data governance, provenance, bias, trust, synthetic data, regulatory compliance, and assessment. Part II – Applications illustrates how Generative AI technologies can disrupt various domains and applications. Its chapters are co-authored with industry experts and include case studies in public administration, travel risk management, healthcare, medical imaging, and manufacturing. The role of multimodal generative AI for human-robot collaboration is explored in Chapter 17. Part III – Future Directions discusses aspects of trust, certification, and the responsible adoption of generative AI.
Researchers and advanced-level students focused in the fields of AI, Data Science, Robotics, and associated disciplines, e.g. computer science, information technology, information systems, among others will find this book useful as a reference. ICT experts will find practical recommendations from this book, based on rigorous studies, that offer insights and guidance on Trustworthy Generative AI across a range of technology and innovation areas. Policymakers and decision drivers at the local, national, or international level will also find this book to be a valuable resource.
This open-access book provides a comprehensive edited volume that brings together contributions from leading experts and practitioners in Trustworthy Generative AI. It is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation. It also delves into foundational principles and cutting-edge techniques, systematically investigating theoretical foundations with practical insights. Artificial Intelligence is reshaping industries, economies, and daily life. The rise of Generative AI powered by developments in large language models and natural language understanding, has created new opportunities in content creation, autonomous systems, and interactive dialogues. This book organizes these contributions into three parts: foundations, applications, and future directions.
Part I – Foundations covers the core scientific and technical principles of Trustworthy Generative AI. The chapters detail explainability, ethical frameworks, hybrid decision-making, data governance, provenance, bias, trust, synthetic data, regulatory compliance, and assessment. Part II – Applications illustrates how Generative AI technologies can disrupt various domains and applications. Its chapters are co-authored with industry experts and include case studies in public administration, travel risk management, healthcare, medical imaging, and manufacturing. The role of multimodal generative AI for human-robot collaboration is explored in Chapter 17. Part III – Future Directions discusses aspects of trust, certification, and the responsible adoption of generative AI.
Researchers and advanced-level students focused in the fields of AI, Data Science, Robotics, and associated disciplines, e.g. computer science, information technology, information systems, among others will find this book useful as a reference. ICT experts will find practical recommendations from this book, based on rigorous studies, that offer insights and guidance on Trustworthy Generative AI across a range of technology and innovation areas. Policymakers and decision drivers at the local, national, or international level will also find this book to be a valuable resource.
This book is open access, which means that you have free and unlimited access Explores the cutting-edge theory, technologies, methodologies, and best practices for trustworthy generative AI Provides frameworks, real-world applications, and case studies Captures lessons and experiences in creating trustworthy generative AI in sectors
Autor*in
Edward Curry
Themen in »Trustworthy Generative AI«
Open Access Generative AI Use Cases Natural Language Understanding Conversational AI Computer Applications Intelligent Systems Large Language Models (LLMs)