Artificial Intelligence and the Rule of Law – serie

This book focuses on the development of artificial intelligence and rule of law in the current world. It covers topics such as AI strategy, policy, law, theoretical research, and practical application. Through an in-depth analysis and thorough evaluation, this book provides a more objective, fair, accurate and comprehensive report. The purpose is to lead the AI and rule of law research and create an AI and rule of law environment which is conducive to the construction of AI and rule of law system. In particular, it aims to play an active role in promoting the establishment of legal systems, policy systems, and codes of ethics that are compatible with the innovative development of AI, thus facilitating the implementation of a new generation of AI development strategies, and ensuring the safe, reliable, controllable, healthy, and sustainable development of AI.

This book focuses on the development of artificial intelligence and rule of law in the current world. It covers topics such as AI strategy, policy, law, theoretical research, and practical application. Through an in-depth analysis and thorough evaluation, this book provides a more objective, fair, accurate and comprehensive report. The purpose is to lead the AI and rule of law research and create an AI and rule of law environment which is conducive to the construction of AI and rule of law system. In particular, it aims to play an active role in promoting the establishment of legal systems, policy systems, and codes of ethics that are compatible with the innovative development of AI, thus facilitating the implementation of a new generation of AI development strategies, and ensuring the safe, reliable, controllable, healthy, and sustainable development of AI.

This book focuses on the development of artificial intelligence and rule of law in the world, by collecting and summarizing the information about the development of artificial intelligence and rule of law in China and the world, covering topics like AI strategy, policy, law, theoretical research and practical application, etc. It makes an in-depth analysis so as to provide an objective, fair and accurate report. The purpose is to promote the study of AI and law, promote the construction of AI and rule of law system, and create an AI and rule of law environment. In particular, it aims to play an active role in promoting the establishment of legislative norms, legal systems, policy systems and ethical norms that are compatible with the innovative development of AI, promoting the implementation of a new generation of national AI development strategies, ensuring the safe, reliable, controllable, healthy and sustainable development of AI. It is hoped that this book may provide useful reference for researchers of AI and law.

This book introduces the concept and scope of AI safety and analyzes the security issues involved in AI as well as their governance strategies and solutions from different perspectives such as theoretical technology, technical standards, the industrial ecology, and laws. In addition to the overview, this book describes the methods of using trusted computing technology to solve AI safety problems, as well as the safety of unmanned systems, strong AI based on brain - like computing and its safety, the application safety of AI in intelligent manufacturing and smart cities, network security, the construction of an industrial ecosystem for AI safety and controllability, AI safety standards and risk assessment and early warning. Overall, this book not only outlines the general attributes of AI safety issues, but also analyzes the special security problems in AI systems, as well as their risk assessment, prediction, governance approaches and solutions from different perspectives and in different typical application fields.

This book broaches the newly crafted concept of algorithmic dictatorship that draws on a plethora of human biases that creep into the algorithm and feeds into an automated decision that comes to the expense of citizens´ lives, freedoms, health, property, fair lending, and credit scoring. This book sheds a keen light on the slew of reasons in view of which artificial intelligence should be both interpretable and controllable, as opposed to merely explainable. The reason for that is straightforward: the skewed data baked into the bigoted algorithms—machine biases—spawns harrowing effects with which criminal justice has been grappling for a long-haul/drawn-out. Tallyingly, and perhaps unsurprisingly, law enforcement evinces biases that run along both gender and race lines. No surprise springs from the fact that computer-generated algorithms that propel predictive policing are often flagged as tools whereby racial discrimination abounds. It should not therefore be pegged as flabbergasting that this sort of shady algorithmic governance is a byproduct of a grueling algorithmic dictatorship that is shaping up to crumble the foundations of Rule of Law upon which stands modern societies. This is one of the key takeaways of this book. Disturbingly enough, brain–computer interfaces are poised to be converted into shady tools to collate/gauge thoughts, emotions, sentiments, and crime-related information that would be otherwise inaccessible to the governments’, rogue nations’, or unscrupulous actors’ prying eyes. Much to our dismay, an eerily dystopian world is unfolding before our very eyes. This is the gist of transhumanism—a byproduct of convolutional neural networks that revolve around deep learning genetic algorithms—that will overhaul the current legal landscape beyond recognition. This book charts the path ahead as to draw set-in-stone boundaries to prevent jurisdictions from careening into the chaos of genetic plutocracy that should be wished away.

This is an Open access book which provides a comprehensive framework for identifying monopolistic behaviors in the digital economy, with a focus on discriminatory pricing as one manifestation of these practices. As digital platforms increasingly dominate markets and collect unprecedented volumes of user data, pricing strategies tailored to user profiles—often resulting in discriminatory pricing—raise major concerns about consumer rights, market fairness, and competition. Differential pricing driven by big data is widespread in sectors like e-commerce, travel, and ride-hailing; however, when adopted by dominant enterprises, it risks evolving into monopolistic practices that challenge existing legal frameworks and consumer protections. On the algorithmic level, this book tackles these challenges by developing an innovative, machine-learning-based approach for real-time detection of discriminatory pricing and related monopolistic behaviors. Recognizing that traditional regulatory oversight heavily relies on consumer complaints and is often retrospective, we propose an advanced Dual Pricing Model Clustering (DPMC) framework, which proactively distinguishes between discriminatory and non-discriminatory pricing using real-world data patterns. Initially, the book focuses on the online ride-hailing industry, where dynamic pricing is common and has attracted widespread public attention. It offers practical insights and a robust, transferable framework applicable to other sectors facing similar issues. From the perspective of antitrust business needs, we have also developed an intelligent antitrust system. Beyond its statistical analysis capabilities, the book explores the application of large models in the antitrust field, proposing a "Computational Antitrust Large Model." This model integrates large language models with monopolistic behavior identification models, combining insights from public sentiment and other intelligence sources to assist regulators in proactively detecting monopolistic behavior clues. The book is designed for professionals and scholars in antitrust regulation, digital economy governance, and data science, aiming to equip them with the knowledge and tools needed to address monopolistic and discriminatory practices in the platform economy.

Using legal analysis methods, this book investigates the impact of “big data,” “data” and “information” on human society as well as the potential risks. In the context of competition issues, it analyzes relevant legal systems’ paths to perfection. Further, it discusses the intellectual property system as a problem-solving tool.The book reflects the interpretation of, attitudes to and possible treatment of non-traditional intellectual property objects such as “big data,” “data” and “information” in Chinese intellectual property law research. At the same time, it describes the attitude of the Chinese legal system to “information openness” and demonstrates the practical aspects of including “big data” in the intellectual property protection system.Offering definitions of “big data,” “data” and “information” in Chinese legal studies, this book is a valuable resource for legal researchers and information technology industry practitioners. It also enables readers to gain an understanding of the Chinese intellectual property system’s attitude to modern information technology objects and of Chinese law. Lastly, it raises awareness of “information monopoly” and offers possible ways to analyze and solve problems.

This book addresses the pressing problem of legal ambiguity surrounding the copyright of AI-generated works. The core issue is the lack of clear legal guidelines and standards for determining the copyright status of AI-generated works, ownership rights, and the attribution of these rights among the developers of AI technologies, users, and possibly the AI entities themselves. The ultimate goal is to propose a legal framework that can support innovation and creativity in the AI space while ensuring that intellectual property rights are respected and protected. This balance is of great importance for encouraging the continued development of AI technologies and their application across various sectors. It is crucial that creators, both human and AI, can coexist in a manner that benefits society as a whole. By dissecting these issues, the book aims to clarify the current legal stance in China, compare it with international standards, and offer insights into potential future directions for law and policy.The book is designed to serve as a valuable resource for legal scholars, practitioners in copyright law, policymakers involved in legislative reform, and technologists interested in the legal implications of AI development. The target audience includes those who seek to understand the evolving relationship between copyright law and artificial intelligence, and to identify the need for laws that effectively address the copyright challenges posed by AI while promoting innovation and creativity.

This book provides an in-depth discussion of the theoretical and practical issues of criminal imputation for negligence crime involving artificial intelligence. Accordingly, this study combines the imputation challenges brought about by AI with traditional criminal imputation theory and analyses imputation for negligence crime involving AI from three aspects: the basic principles, structure, and results of imputation for negligence crime involving AI. The traditional theory of imputation is discussed in detail. The readership is a group of people interested in this topic, including, in particular, interested laymen, undergraduate students and postgraduate researchers. The highlights of this book are it identifies the imputation challenges bought about by AI, reveals the theoretical and practical gap in the criminal imputation of negligent crimes involving AI, and provides an in-depth and creative ideas of criminal imputation for the negligent crimes involving AI.

This book provides an in-depth discussion of the theoretical and practical issues of criminal imputation for negligence crime involving artificial intelligence. Accordingly, this study combines the imputation challenges brought about by AI with traditional criminal imputation theory and analyses imputation for negligence crime involving AI from three aspects: the basic principles, structure, and results of imputation for negligence crime involving AI. The traditional theory of imputation is discussed in detail. The readership is a group of people interested in this topic, including, in particular, interested laymen, undergraduate students and postgraduate researchers. The highlights of this book are it identifies the imputation challenges bought about by AI, reveals the theoretical and practical gap in the criminal imputation of negligent crimes involving AI, and provides an in-depth and creative ideas of criminal imputation for the negligent crimes involving AI.

This book focuses on the development of artificial intelligence and rule of law in the world, by collecting and summarizing the information about the development of artificial intelligence and rule of law in China and the world, covering topics like AI strategy, policy, law, theoretical research, practical application, etc. It makes an in-depth analysis so as to provide an objective, fair, and accurate report. The purpose is to promote the study of AI and law, promote the construction of AI and rule of law system, and create an AI and rule of law environment. In particular, it aims to play an active role in promoting the establishment of legislative norms, legal systems, policy systems, and ethical norms that are compatible with the innovative development of AI, promoting the implementation of a new generation of national AI development strategies and ensuring the safe, reliable, controllable, healthy, and sustainable development of AI. It is hoped that this book provides a useful reference for researchers of AI and law.

This book focuses on the development of artificial intelligence and rule of law in the world, by collecting and summarizing the information about the development of artificial intelligence and rule of law in China and the world, covering topics like AI strategy, policy, law, theoretical research, practical application, etc. It makes an in-depth analysis so as to provide an objective, fair, and accurate report. The purpose is to promote the study of AI and law, promote the construction of AI and rule of law system, and create an AI and rule of law environment. In particular, it aims to play an active role in promoting the establishment of legislative norms, legal systems, policy systems, and ethical norms that are compatible with the innovative development of AI, promoting the implementation of a new generation of national AI development strategies and ensuring the safe, reliable, controllable, healthy, and sustainable development of AI. It is hoped that this book provides a useful reference for researchers of AI and law.

This book focuses on the development of artificial intelligence and rule of law in the world, by collecting and summarizing the information about the development of artificial intelligence and rule of law in China and the world, covering topics like AI strategy, policy, law, theoretical research and practical application, etc. It makes an in-depth analysis so as to provide an objective, fair and accurate report. The purpose is to promote the study of AI and law, promote the construction of AI and rule of law system and create an AI and rule of law environment. In particular, it aims to play an active role in promoting the establishment of legislative norms, legal systems, policy systems and ethical norms that are compatible with the innovative development of AI, promoting the implementation of a new generation of national AI development strategies, ensuring the safe, reliable, controllable, healthy and sustainable development of AI. It is hoped that this book may provide useful reference for researchers of AI and law.

This book focuses on the development of artificial intelligence and rule of law in the world, by collecting and summarizing the information about the development of artificial intelligence and rule of law in China and the world, covering topics like AI strategy, policy, law, theoretical research and practical application, etc. It makes an in-depth analysis so as to provide an objective, fair and accurate report. The purpose is to promote the study of AI and law, promote the construction of AI and rule of law system and create an AI and rule of law environment. In particular, it aims to play an active role in promoting the establishment of legislative norms, legal systems, policy systems and ethical norms that are compatible with the innovative development of AI, promoting the implementation of a new generation of national AI development strategies, ensuring the safe, reliable, controllable, healthy and sustainable development of AI. It is hoped that this book may provide useful reference for researchers of AI and law.

This is the first professional academic work in China to discuss artificial intelligence and blockchain together. Artificial intelligence is a productivity revolution, and its development has a significant and profound impact on global changes. However, at the same time, its development also brings a series of challenges to human society, such as privacy, security, and fairness issues. Therefore, the significance of blockchain is even more prominent. Blockchain is a revolution in production relations, which will propose important solutions to the challenges of privacy, security, and fairness that arise after the development of artificial intelligence. The book not only discusses the problems currently faced by the development of artificial intelligence, as well as the new opportunities and challenges that artificial intelligence brings to future global governance, but also explains the further development direction of the intelligent revolution from the perspective of blockchain.