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Governments around the world use machine learning in automated decision-making systems for a broad range of functions. This book seeks to answer the question: what standards should be applied to machine learning to mitigate disparate impact in automated decision-making?
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Jeffrey Lee teaches parents and stakeholders to use the tech against itself to protect children.
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This volume provides the basis for contemporary privacy and social media research and informs global as well as local initiatives to address issues related to social media privacy through research, policymaking, and education.
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Designed for the non-security professional, this book is an overview of the field of cyber security. The new edition updates... Læs mere
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The world today is confronting a critical worldwide portability challenge and the framework that moves cities must keep pace with the innovation. This book reviews the applications, technologies, standards, and other issues related to Smart Cities.
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6G-enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used.
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This reference text presents the important components for grasping the potential of social computing with an emphasis on concerns, challenges, and... Læs mere
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A comprehensive, rigorous, multidisciplinary analysis of privacy debates, organised around a framework for understanding the different questions and perspectives of antagonists. -- .
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Teaches readers to identify and avoid deceit and misinformation online.
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A long-time chief data scientist at Amazon shows how open data can make everyone, not just corporations, richer
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Thoroughly updates the first edition by addressing the significant advances in data-driven... Læs mere
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Privacy is not just the right to be left alone, but also the right to autonomy, control, and access to your personal... Læs mere