AI Development and the ‘Fuzzy Logic' of Chinese Cyber Security and Data Laws

AI Development and the ‘Fuzzy Logic' of Chinese Cyber Security and Data Laws

Author: Max Parasol

Publisher: Cambridge University Press

ISBN: 9781009081108

Category: Law

Page:

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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.

China’s Digital Authoritarianism

China’s Digital Authoritarianism

Author: Monique Taylor

Publisher: Springer Nature

ISBN: 9783031112522

Category: Political Science

Page: 179

View: 707

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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.

Baidu

Baidu

Author: ShinJoung Yeo

Publisher: Taylor & Francis

ISBN: 9781000816426

Category: Social Science

Page: 74

View: 352

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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.

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering

Author: Nikola K. Kasabov

Publisher: Marcel Alencar

ISBN: 9780262112123

Category: Computers

Page: 581

View: 903

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Neural networks and fuzzy systems are different approaches to introducing human-like reasoning into expert systems. This text is the first to combine the study of these two subjects, their basics and their use, along with symbolic AI methods to build comprehensive artificial intelligence systems. In a clear and accessible style, Kasabov describes rule- based and connectionist techniques and then their combinations, with fuzzy logic included, showing the application of the different techniques to a set of simple prototype problems, which makes comparisons possible. A particularly strong feature of the text is that it is filled with applications in engineering, business, and finance. AI problems that cover most of the application-oriented research in the field (pattern recognition, speech and image processing, classification, planning, optimization, prediction, control, decision making, and game simulations) are discussed and illustrated with concrete examples. Intended both as a text for advanced undergraduate and postgraduate students as well as a reference for researchers in the field of knowledge engineering, Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering has chapters structured for various levels of teaching and includes original work by the author along with the classic material. Data sets for the examples in the book as well as an integrated software environment that can be used to solve the problems and do the exercises at the end of each chapter are available free through anonymous ftp.

Design of Logic-based Intelligent Systems

Design of Logic-based Intelligent Systems

Author: Klaus Truemper

Publisher: John Wiley & Sons

ISBN: 0471484032

Category: Technology & Engineering

Page: 368

View: 518

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Principles for constructing intelligent systems Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done by humans but are difficult for machines. Current Artificial Intelligence (AI) approaches rely on various constructs and methods (production rules, neural nets, support vector machines, fuzzy logic, Bayesian networks, etc.). In contrast, this book uses an extension of propositional logic that treats all aspects of intelligent systems in a unified and mathematically compatible manner. Topics include: * Levels of thinking and logic * Special cases: expert systems and intelligent agents * Formulating and solving logic systems * Reasoning under uncertainty * Learning logic formulas from data * Nonmonotonic and incomplete reasoning * Question-and-answer processes * Intelligent systems that construct intelligent systems Design of Logic-based Intelligent Systems is both a handbook for the AI practitioner and a textbook for advanced undergraduate and graduate courses on intelligent systems. Included are more than forty algorithms, and numerous examples and exercises. The purchaser of the book may obtain an accompanying software package (Leibniz System) free of charge via the internet at leibnizsystem.com.

Artificial-Intelligence-based Electrical Machines and Drives

Artificial-Intelligence-based Electrical Machines and Drives

Author: Peter Vas

Publisher: Oxford University Press

ISBN: 019859397X

Category: Computers

Page: 794

View: 385

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Recently, AI techniques have received increased attention world-wide and at present 2 industrial drives incorporate some form of AI. This is the first comprehensive book which discusses numerous AI applications to electrical machines and drives.