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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Ajouter au panierEtat : New. 2025. 1st Edition. hardcover. . . . . .
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Ajouter au panierHardcover. Etat : Brand New. 216 pages. 9.00x6.00x9.00 inches. In Stock.
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Ajouter au panierHardcover. Etat : Brand New. 282 pages. 9.00x6.00x9.24 inches. In Stock.
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Ajouter au panierEtat : New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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Langue: anglais
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032957948 ISBN 13 : 9781032957944
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Ajouter au panierHardcover. Etat : new. Hardcover. Trust in Generative Artificial Intelligence: HumanRobot Interaction and Ethical Considerations is a comprehensive exploration of the critical role of trust in the rapidly evolving world of AI. Edited by Joanna Paliszkiewicz, Ireneusz Dabrowski, and Leila Halawi, this book provides a thorough examination of how trust influences the integration and effectiveness of generative AI in various aspects of society. The book spans three main sections, offering insights from international experts across multiple disciplines and a blend of theoretical foundations and practical insights, making it a valuable resource for both understanding and implementing trust in AI systems. Readers will benefit from indepth analyses of emerging trends, systematic literature reviews, and case studies on trust in diverse contexts, from social media to healthcare. The focus on humanrobot interaction and ethical considerations provides a nuanced understanding of the psychological and ethical factors at play. Aimed at researchers, practitioners, and policymakers interested in AI, ethics, and humanrobot interaction, this edited collection is also suitable for educators and students in fields related to AI and technology, providing a comprehensive resource for academic study and practical application. This book is a comprehensive exploration of the critical role of trust in the rapidly evolving world of AI, providing a thorough examination of how trust influences the integration and effectiveness of generative AI in various aspects of society. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032957999 ISBN 13 : 9781032957999
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Ajouter au panierHardcover. Etat : new. Hardcover. In an era where generative artificial intelligence (AI) is reshaping industries and daily life, trust has become a cornerstone for its successful adoption and application. Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations explores how trust can be built, maintained, and evaluated in a world increasingly reliant on AI technologies. Designed to be accessible to a broad audience, thi book blends theoretical insights with practical approaches, offering readers a comprehensive understanding of the topic.This book is divided into three parts. The first part examines the foundations of trust in generative AI, highlighting trends and ethical challenges such as "greenwashing" and remote work dynamics. The second part provides actionable frameworks and tools for assessing and enhancing trust, focusing on topics like cybersecurity, transparency, and explainability. The final section presents global case studies exploring university students' perceptions of ChatGPT, generative AI's applications in European agriculture, and its transformative impact on financial systems.By addressing both the opportunities and risks of generative AI, this book delivers groundbreaking insights for academics, professionals, and policymakers worldwide. It emphasizes practical solutions, ensuring readers gain the knowledge needed to navigate the evolving technological landscape and foster trust in transformative AI systems. This book explores how trust can be built, maintained, and evaluated in a world increasingly reliant on AI technologies. Designed to be accessible to a broad audience, the book blends theoretical insights with practical approaches, offering readers a comprehensive understanding of the topic. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032957948 ISBN 13 : 9781032957944
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 155,95
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Ajouter au panierHardcover. Etat : new. Hardcover. Trust in Generative Artificial Intelligence: HumanRobot Interaction and Ethical Considerations is a comprehensive exploration of the critical role of trust in the rapidly evolving world of AI. Edited by Joanna Paliszkiewicz, Ireneusz Dabrowski, and Leila Halawi, this book provides a thorough examination of how trust influences the integration and effectiveness of generative AI in various aspects of society. The book spans three main sections, offering insights from international experts across multiple disciplines and a blend of theoretical foundations and practical insights, making it a valuable resource for both understanding and implementing trust in AI systems. Readers will benefit from indepth analyses of emerging trends, systematic literature reviews, and case studies on trust in diverse contexts, from social media to healthcare. The focus on humanrobot interaction and ethical considerations provides a nuanced understanding of the psychological and ethical factors at play. Aimed at researchers, practitioners, and policymakers interested in AI, ethics, and humanrobot interaction, this edited collection is also suitable for educators and students in fields related to AI and technology, providing a comprehensive resource for academic study and practical application. This book is a comprehensive exploration of the critical role of trust in the rapidly evolving world of AI, providing a thorough examination of how trust influences the integration and effectiveness of generative AI in various aspects of society. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Langue: anglais
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032957999 ISBN 13 : 9781032957999
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 158,92
Quantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : new. Hardcover. In an era where generative artificial intelligence (AI) is reshaping industries and daily life, trust has become a cornerstone for its successful adoption and application. Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations explores how trust can be built, maintained, and evaluated in a world increasingly reliant on AI technologies. Designed to be accessible to a broad audience, thi book blends theoretical insights with practical approaches, offering readers a comprehensive understanding of the topic.This book is divided into three parts. The first part examines the foundations of trust in generative AI, highlighting trends and ethical challenges such as "greenwashing" and remote work dynamics. The second part provides actionable frameworks and tools for assessing and enhancing trust, focusing on topics like cybersecurity, transparency, and explainability. The final section presents global case studies exploring university students' perceptions of ChatGPT, generative AI's applications in European agriculture, and its transformative impact on financial systems.By addressing both the opportunities and risks of generative AI, this book delivers groundbreaking insights for academics, professionals, and policymakers worldwide. It emphasizes practical solutions, ensuring readers gain the knowledge needed to navigate the evolving technological landscape and foster trust in transformative AI systems. This book explores how trust can be built, maintained, and evaluated in a world increasingly reliant on AI technologies. Designed to be accessible to a broad audience, the book blends theoretical insights with practical approaches, offering readers a comprehensive understanding of the topic. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 180
Quantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In an era where generative artificial intelligence (AI) is reshaping industries and daily life, trust has become a cornerstone for its successful adoption and application. Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations explores how trust can be built, maintained, and evaluated in a world increasingly reliant on AI technologies. Designed to be accessible to a broad audience, thi book blends theoretical insights with practical approaches, offering readers a comprehensive understanding of the topic.This book is divided into three parts. The first part examines the foundations of trust in generative AI, highlighting trends and ethical challenges such as 'greenwashing' and remote work dynamics. The second part provides actionable frameworks and tools for assessing and enhancing trust, focusing on topics like cybersecurity, transparency, and explainability. The final section presents global case studies exploring university students' perceptions of ChatGPT, generative AI's applications in European agriculture, and its transformative impact on financial systems.By addressing both the opportunities and risks of generative AI, this book delivers groundbreaking insights for academics, professionals, and policymakers worldwide. It emphasizes practical solutions, ensuring readers gain the knowledge needed to navigate the evolving technological landscape and foster trust in transformative AI systems. 308 pp. Englisch.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 222,16
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Ajouter au panierHRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.