Description
As artificial intelligence becomes increasingly integrated into everyday life, organizations face growing challenges related to security, ethics, governance, and responsible innovation. Understanding these issues is essential for anyone developing, deploying, or managing AI systems.
This book provides a comprehensive exploration of the opportunities and risks associated with modern AI technologies. It examines critical topics such as system vulnerabilities, adversarial attacks, data protection, and the security challenges that can undermine the reliability of AI-driven solutions. At the same time, it explores the ethical foundations of responsible AI, including fairness, transparency, accountability, inclusiveness, and the broader social impact of intelligent systems.
Bridging the gap between AI security and AI ethics, the book offers both theoretical foundations and practical guidance for designing systems that are not only effective but also trustworthy. Readers will gain insight into the frameworks, principles, and governance strategies needed to ensure that AI technologies serve society in a responsible and sustainable way.
Through real-world examples, case studies, hands-on activities, and emerging industry perspectives, the book demonstrates how ethical and secure AI can be applied across a wide range of fields, including healthcare, cybersecurity, sustainability, and public services.
Designed for students, researchers, and professionals alike, this resource equips readers with the knowledge and tools needed to navigate the rapidly evolving AI landscape. By combining technical, ethical, and governance perspectives, it provides a practical roadmap for building AI systems that promote innovation while protecting individuals, organizations, and society as a whole.
Building Ethical and Secure AI: Principles, Practices, and Challenges for the Next Generation (Synthesis Lectures on Computer Science)
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