Name: Trustworthy ai: Ethical Frameworks for Responsible Innovation (en Inglés)
SKU: 67498383
Price: 75.80 USD
Availability: InStock
Author: Andrea Aler Tubella; Virginia Dignum; Marçal Mora-Cantallops; Juan Carlos Nieves; Andreas Theodorou
ISBN: 9781009492867

portada Trustworthy ai: Ethical Frameworks for Responsible Innovation (en Inglés)

Trustworthy ai: Ethical Frameworks for Responsible Innovation (en Inglés)

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

Andrea Aler Tubella; Virginia Dignum; Marçal Mora-Cantallops; Juan Carlos Nieves; Andreas Theodorou

Idioma

Inglés

N° páginas

154

Encuadernación

Tapa Dura

ISBN13

9781009492867

Trustworthy ai: Ethical Frameworks for Responsible Innovation (en Inglés)

Andrea Aler Tubella; Virginia Dignum; Marçal Mora-Cantallops; Juan Carlos Nieves; Andreas Theodorou (Autor) · Cambridge University Press · Tapa Dura

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Reseña del libro "Trustworthy ai: Ethical Frameworks for Responsible Innovation (en Inglés)"

Artificial intelligence is reshaping decisions that affect people, institutions, and societies. Understanding how to design, deploy, and govern AI systems that can be trusted is now essential in many disciplines. This book offers a clear, concise introduction to trustworthy AI, treating AI not just as a technical artifact but as a socio-technical system embedded in human contexts. Developed from an internationally applicable educational framework, the book is designed for teaching and learning in computer science, data science, law, policy, business, and related fields. It equips students and professionals with the concepts and judgment needed to engage critically and responsibly with AI in practice. Combining ethics, governance, and practical insight, the book explains key concepts including transparency, fairness, accountability, human oversight, and stakeholder participation. An interdisciplinary approach makes the material accessible to both technical and non-technical audiences, with realistic scenarios and reflection questions so readers connect principles to real-world AI applications.