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Responsible AI: best practices for creating trustworthy AI systems
Lu Q., Zhu L., Whittle J., Xu X., Pearson, Hoboken ,NJ, 2023. 320 pp. Type: Book (9780138073923)
Date Reviewed: Apr 4 2024

Responsible AI: best practices for creating trustworthy AI systems is an in-depth book that explores the essential elements of artificial intelligence (AI) systems, emphasizing ethics, transparency, and responsibility. The book is intricately organized, offering a clear guide for AI professionals and amateurs to comprehend the intricacies and factors involved in developing AI systems that are not only efficient but also ethically and socially responsible.

The book’s major contribution is its transdisciplinary approach. The content combines viewpoints from computer science, ethics, law, and social sciences to provide a comprehensive understanding of responsible AI. This work is both instructive and accessible to a diverse readership, irrespective of their background.

The authors adeptly tackle the primary obstacles in AI, including bias, privacy, and security. They offer practical examples and case studies that are both captivating and informative. The examples demonstrate how principles of responsible AI might be implemented in different situations, making the theoretical concepts in the book more concrete and understandable.

Additionally, the book is forward-thinking since it examines both the present condition and future direction of AI. It prompts readers to analyze the long-term consequences of AI and the importance of human supervision in ensuring AI systems adhere to human values and society standards.

Another important part of this effort is the incorporation of best practices and recommendations. The information is given in a simple and actionable style, providing essential direction for professionals engaged in designing, developing, and deploying AI systems. These best practices provide guidance for creating AI that is efficient, inventive, socially responsible, and trustworthy.

The book could be improved by including more in-depth analyses of international viewpoints and regulatory structures, given the worldwide influence of AI technologies. The book is thorough, although it could be daunting for complete novices in AI because of the extensive range of issues discussed.

Ultimately, the book is an essential addition to the AI industry. It is essential for anybody seeking to comprehend the ethical aspects of AI and learn how to appropriately traverse the intricate realm of AI development. The comprehensive research, practical case studies, and clear instructions make it a significant resource for AI experts and students.

Reviewer:  Mihailescu Marius Iulian Review #: CR147737
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