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Engineering Ethics of AI by Design : Principles, Practices, and Frameworks for Responsible Artificial Intelligence / by Muthu Ramachandran.

Springer eBooks EBA - Engineering Collection 2026 Available online

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Format:
Book
Author/Creator:
Ramachandran, Muthu.
Series:
Engineering Series
Language:
English
Subjects (All):
Artificial intelligence.
Computational intelligence.
Technology--Moral and ethical aspects.
Technology.
Sustainability.
Artificial Intelligence.
Computational Intelligence.
Ethics of Technology.
Local Subjects:
Artificial Intelligence.
Computational Intelligence.
Ethics of Technology.
Sustainability.
Physical Description:
1 online resource (941 pages)
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
Summary:
This book addresses the growing need for ethical considerations in the development and deployment of Artificial Intelligence (AI) systems. As AI technologies continue to advance at an unprecedented pace, they bring transformative benefits across industries but also raise significant ethical challenges, such as bias, accountability, transparency, and societal impact. This book bridges the gap between theoretical ethical principles and practical engineering practices, offering a comprehensive guide for embedding ethics into the AI development lifecycle. By focusing on actionable frameworks, case studies, and engineering-centric approaches, the book equips readers with the tools to design and implement AI systems that are not only innovative but also responsible and aligned with societal values.
Contents:
Part 1 ethics of ai
The ethics of artificial intelligence
Core ethical principles in ai
Analysis of ethical frameworks for ai
Ethical challenges in ai
Case studies in ai ethics
Part 2 Ethics of ai by design
Introduction to ai ethics by design
Ethical considerations in requirements engineering for ai applications
Ethical design principles for ai applications in healthcare
Ai ethics by design with ai reference architecture embedding ethics by design in ai architecture
Ethical ai development
Ethical ai testing and evaluation against governance and frameworks
Quality assurance framework for ai ethics by design
Part 3 future directions and emerging topics in ai ethics
Future directions and emerging issues in ai ethics
Ai ethics for explainability
Engineering ai ethics for transparency
Ai ethics in generative ai
Ethical considerations in ai agents.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9789819529094
OCLC:
1553136787

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