The book examines the extent to which Chinese cyber and network security laws and policies act as a constraint on the emergence of Chinese entrepreneurialism and innovation. Specifically, how the contradictions and tensions between data localisation laws (as part of Network Sovereignty policies) affect innovation in artificial intelligence (AI). The book surveys the globalised R&D networks, and how the increasing use of open-source platforms by leading Chinese AI firms during 2017–2020, exacerbated the apparent contradiction between Network Sovereignty and Chinese innovation. The drafting of the Cyber Security Law did not anticipate the changing nature of globalised AI innovation. It is argued that the deliberate deployment of what the book refers to as 'fuzzy logic' in drafting the Cyber Security Law allowed regulators to subsequently interpret key terms regarding data in that Law in a fluid and flexible fashion to benefit Chinese innovation.

This book provides a governance perspective on China’s digital authoritarianism by examining the political and institutional dynamics of the country’s internet sector in a historical context. Using leading theories of authoritarian institutions, it discusses China’s approach to the internet and methods of implementation in terms of party-state institutions and policy processes. This provides a much-needed ‘inside out’ perspective on digital authoritarianism that avoids the perception of China as some coherent and static monolith. The study also offers a powerful rationale for China’s cyber sovereignty as an externalisation of its domestic internet governance framework and broader political-economic context. As China shifts from rule-taker to rule-maker in world politics, the Chinese Dream (zhongguo meng) is now going global. Beijing’s digital authoritarian toolkit is being promoted and exported to other authoritarian regimes, making China a major driver of digital repression at the global level.

"Headlines about Chinese innovation can induce a certain cognitive dissonance. On the one hand, until very recently true innovation in China was thought impossible due to censorship and control. The seemingly insurmountable conflict was clear: restriction versus innovation. How could that mesh of an economic, legal and political system we cannot label precisely with any existing reference points be so successful economically and technologically? Suddenly by 2017-2020, not a week went by without Western media reporting on the impressive and sometimes unnerving Chinese technology and artificial intelligence ('AI') developments. Chinese facial and speech recognition companies are now world class, but we know little about their most impressive achievements because their commercial applications have mostly been piloted inside China's borders"--

An in-depth exploration of the political economy of the Chinese technology company Baidu which, along with China’s other tech giants Alibaba and Tencent, has emerged as a leading global Internet company. Baidu – not Google – is the dominant search company in China, the largest Internet market in the world, whose impact on the political economy is no longer limited to China, but the broader global market, and in particular the US economy. This book outlines the intense competition within the search engine market and illustrates the inter-capitalist dynamic in the contemporary Chinese Internet sector, and highlights Baidu’s uniqueness on the global stage as it pivots to Artificial Intelligence (AI) and expands into other industrial sectors. ShinJoung Yeo offers a window into the intensifying geopolitical shaping of the global Internet industry, and the contention and collaboration among multinational firms and states to control the most dynamic capitalist economic sector – the Internet. An important and timely analysis for anyone interested in the political economy of the global media, communication, and information industries, and particularly those requiring a better understanding of the Internet industry in China.

The field of artificial intelligence (AI) has made tremendous advances in the last two decades, but as smart as AI is now, it is getting smarter and becoming more autonomous. This raises a host of challenges to current legal doctrine, including whether AI/algorithms should count as ‘speech’, whether AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered as an agent under agency law or be held responsible for injuries under tort law. This book contains chapters from US and international law scholars on the role of law in an age of increasingly smart AI, addressing these and other issues that are critical to the evolution of the field.

The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.

"Artificial intelligence (AI) and big data promise to help reshape the global order. For decades, most political observers believed that liberal democracy offered the only plausible future pathways for big, industrially sophisticated countries to make their citizens rich. Now, by allowing governments to monitor, understand, and control their citizens far more effectively than ever before, AI offers a plausible way for big, economically advanced countries to make their citizens rich while maintaining control over them--the first since the end of the Cold War. That may help fuel and shape renewed international competition between types of political regimes that are all becoming more "digital." Just as competition between liberal democratic, fascist, and communist social systems defined much of the twentieth century, how may the struggle between digital liberal democracy and digital authoritarianism define and shape the twenty-first? This work highlights several key areas where AI-related technologies have clear implications for globally integrated strategic planning and requirements development"--

Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.

Elvy explores the consumer ramifications of the Internet of Things through the lens of the commercial law of privacy and security.

As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.