Bøger af Jun Gu

This book explores the authors' legal thinking on artificial intelligence (AI), a topic of burgeoning interest in the technology sector and among the general public. As part of the Human Intelligence book series, it primarily addresses the legislative and philosophical challenges posed by AI technology. A key philosophical concern discussed is the implications of AI surpassing human intelligence in certain domains, particularly the definition of rights and responsibilities for robots. Without clear resolutions to these issues, the deployment of AI technology may face significant hurdles. The book covers various aspects, including the legal recognition of robots as rights-holders, strategies for implementing these rights, assigning responsibilities to robots, intellectual property rights for robotic inventions, personality rights for companion robots, and an evaluation of the pros and cons of a binary legal system.

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.

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.