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Machine Learning Evaluation Towards Reliable and Responsible AI, 2nd Revised Edition - Nathalie Japkowicz, Zois Boukouvalas 2025 PDF | EPUB Cambridge University Press BOOKS
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Machine Learning Evaluation Towards Reliable and Responsible AI, 2nd Revised Edition
Author: Nathalie Japkowicz, Zois Boukouvalas
Year: 2025
Pages: 427
Format: PDF | EPUB
File size: 10.1 MB
Language: ENG



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The book "Machine Learning Evaluation Towards Reliable and Responsible AI 2nd Revised Edition" is a comprehensive guide to understanding the process of technology evolution and its impact on society. The author argues that the development of modern knowledge is the key to the survival of humanity and the unity of people in a world torn apart by conflict. The book provides a detailed analysis of the current state of artificial intelligence and its potential for both positive and negative impacts on society. It emphasizes the need for responsible and reliable AI development to ensure that these technologies are used for the betterment of humanity and not to its detriment. The book begins by exploring the history of AI and its evolution over time, highlighting the significant advancements made in recent years. It then delves into the various applications of AI, including natural language processing, computer vision, and predictive analytics, and discusses their potential uses and limitations. The author also examines the ethical implications of AI, such as privacy concerns, bias, and job displacement, and offers practical solutions to mitigate these issues. One of the central themes of the book is the importance of developing a personal paradigm for perceiving the technological process of developing modern knowledge. The author argues that this is essential for understanding the rapid pace of technological change and its impact on society. By studying and analyzing the development of AI, readers can gain a deeper appreciation for the complexities of technology and its role in shaping our world.
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