Human And Machines Philosophical Thinking of Artificial Intelligence

This book shares Chinese scholars’ philosophical views on artificial intelligence. The discussions range from the foundations of AI—the Turing test and creation of machine intelligence—to recent applications of AI, including decisions in games, natural languages, pattern recognition, prediction in economic contexts, autonomous behaviors, and collaborative intelligence, with the examples of AlphaGo, Microsoft’s Xiao Bing, medical robots, etc. The book’s closing chapter focuses on Chinese machines and explores questions on the cultural background of artificial intelligence. Given its scope, the book offers a valuable resource for all members of the general public who are interested in the future development of artificial intelligence, especially from the perspective of respected Chinese scholars.

Exploring the Ethical, Logical, and Conceptual Underpinnings of AI Technologies and Their Societal Impacts

Exploring the Ethical, Logical, and Conceptual Underpinnings of AI Technologies and Their Societal Impacts

Exploring the Ethical, Logical, and Conceptual Underpinnings of AI Technologies and Their Societal Impacts

Welcome to "The Philosophy of Technology: Investigating the Philosophical Implications of Technological Advancements in Mechanical and Aerospace Engineering." In this book, we embark on a captivating journey through the philosophical dimensions of technology in the fields of mechanical and aerospace engineering. We delve into the profound questions and ethical considerations that arise as technology continues to shape and transform our world.

This book centers on rethinking foundational values in the era of frontier technologies by tapping into the wisdom of Chinese philosophical traditions. It tries to answer the following questions: How is the essence underpinning humans, nature, and machines changing in this age of frontier technologies? What is the appropriate ethical framework for regulating human–machine relationships? What human values should be embedded in or learnt by AI?