Liebe Besucherinnen und Besucher,
aufgrund unseres Sommerfestes sind wir am 03. September 2026 bis 14 Uhr erreichbar. Am 04. September 2026 sind wir wieder wie gewohnt für Sie da. Vielen Dank für Ihr Verständnis.
Ihr Team von Sack Fachmedien
Fundamentals, Applications, and Future Directions
Buch, Englisch, 561 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-032-36052-6
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Towards Trustworthy Generative AI.- Part I: Fundamentals of Trustworthy Generative AI .- Opening the Black Box: Explaining Generative AI Interactions using Scene2Model.- Generative AI and the Erosion of Cognitive Autonomy: A Neuroethical Framework.- Cognitive Load, Safety, and Generative Co-Pilots.- Bridging the Trust Gap: Hybrid Decision Support Systems as a Pathway to Trustworthy Generative AI.- The Integrity Challenge of the AIaaS Model.- Building Trust in Synthetic Media: Provenance Frameworks for Generative AI.- Mitigating Bias and Enhancing Trust in AI-based Systems through a Synthetic Data-Driven Framework.- AI Bill of Materials (AI BOM) for Trustworthy Generative AI.- Trustworthy Generative AI in Practice: Automating EU AI Act Compliance Assessment.- Unlocking Data Governance under the AI Act through Certified Data Compliance Services.- Generative AI Governance Assessment via Interpretive Structural Modelling: From Interpretation to Assurance with Fuzzy Logic.- Part II - Applications of Trustworthy Generative AI .- Responsible AI in Practice: Designing a Trustworthy Generative AI Chatbot in Public Administration.- Trustworthy Generative AI for Real-Time Travel Risk Management: Personalised Safety at Scale.- From Bench to Bedside: Auditing Trustworthiness of Generative AI in Healthcare Practice.- Generative AI Models in Medical Imaging: When Less is More.- Advancing User-Centric Human-Robot Collaboration in Agile Manufacturing through Multimodal Generative AI.- Part III - Future Direction of Trustworthy Generative AI .- Future Directions on Trust, Certification, and Responsible Adoption of Generative AI.




