Engineering Ethics of AI by Design
Principles, Practices, and Frameworks for Responsible Artificial Intelligence
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Beschreibung
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.
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.
Provides a foundational understanding of AI ethics, including core principles, challenges, and frameworks Translates ethical theories into practical engineering methodologies that can be applied throughout the AI lifecycle Includes Instructor materials, such as lecture slides, discussion questions, and teaching notes
Autor*in
Muthu Ramachandran
Themen in »Engineering Ethics of AI by Design«
AI Ethics Ethical Challenges in AI Healthcare Applications AI Testing and Evaluation Generative AI AI Agents Code GenAI Data Bias Data Poisoning Sustainability and Climate Change Autonomous Vehicles AI Ethics Lifecycle