Engineering Ethics of AI by Design
Description
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.
More details
Other editions
Additional editions
Person
Prof. Muthu Ramachandran is currently a Cybersecurity, AI, and Blockchain Research Consultant at Forti5 Technologies, UK, and Professor Extraordinarius at University of South Africa (UNISA). He is a certified IASME CE, ICA, IoT Cyber & IoT Assurance. Previously, he was Visiting Professor at Indian Institute of Technology (ISM) Dhanbad, India and at University of Southampton. He was also Associate Professor in the School of Built Environment, Engineering, and Computing at Leeds Beckett University in the UK for 18 years. Prior to his academic career, he spent nearly eight years in industrial research with Philips Research Labs, Volantis Systems Ltd, Surrey, UK, and at DRDO, Hyderabad, India as Senior Scientist working on real-time systems, software architecture, reuse, and testing.
Content
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.
