Show me the data! Until the 21st century, just about all of our activities were private by default, public through effort; today anything that touches digital space has the potential (and likelihood) to remain somewhere online forever. That means all of the technologies that have made our lives easier, faster, better, more efficient have also simultaneously made it easier to keep an eye on our activities. In 10 crucial legal cases, Habeas Data explores the tools of surveillance that exist today, how they work, and what the implications are for the future of privacy.

This book explores the innovations, disruptions and changes that are required to adapt in a fast-evolving landscape due to the extraordinary circumstances triggered by the COVID-19 pandemic. Recognized experts from around the world share their research and professional experience on how the working environment, as well as the world around them, have changed due to the pandemic. 　 Chapters consider how different fields across technology and business have been affected by this new, dramatic scenario and the drastic consequences that the pandemic had on them. With diverse contributions stemming from public health, technology strategies, urban planning and sociology to sustainable management, this volume is articulated into four distinct but complementary sections of People, Process, Planet, and Prosperity influencing the post-COVID world. 　 This book will be of great interest to those in the fields of computer science and information technology, as well as those studying the impact and effects that COVID-19 is having on society.  

As the 2020 global lockdown became a universal strategy to control the COVID-19 pandemic, social distancing triggered a massive reliance on online and cyberspace alternatives and switched the world to the digital economy. Despite their effectiveness for remote work and online interactions, cyberspace alternatives ignited several Cybersecurity challenges. Malicious hackers capitalized on global anxiety and launched cyberattacks against unsuspecting victims. Internet fraudsters exploited human and system vulnerabilities and impacted data integrity, privacy, and digital behaviour. Cybersecurity in the COVID-19 Pandemic demystifies Cybersecurity concepts using real-world cybercrime incidents from the pandemic to illustrate how threat actors perpetrated computer fraud against valuable information assets particularly healthcare, financial, commercial, travel, academic, and social networking data. The book simplifies the socio-technical aspects of Cybersecurity and draws valuable lessons from the impacts COVID-19 cyberattacks exerted on computer networks, online portals, and databases. The book also predicts the fusion of Cybersecurity into Artificial Intelligence and Big Data Analytics, the two emerging domains that will potentially dominate and redefine post-pandemic Cybersecurity research and innovations between 2021 and 2025. The book's primary audience is individual and corporate cyberspace consumers across all professions intending to update their Cybersecurity knowledge for detecting, preventing, responding to, and recovering from computer crimes. Cybersecurity in the COVID-19 Pandemic is ideal for information officers, data managers, business and risk administrators, technology scholars, Cybersecurity experts and researchers, and information technology practitioners. Readers will draw lessons for protecting their digital assets from email phishing fraud, social engineering scams, malware campaigns, and website hijacks.

Today we are living in a data age. Millions of pieces of information are generated and used by organizations every day - and developments in technology have helped to make the storage and manipulation of this information much easier. But while marketers have been rubbing their hands together at the comparative ease at which they are now able to gather, analyze and interpret masses of customer data, serious underlying issues of privacy and data protection are threatening to not only damage business relationships, but also ask searching questions as to the conduct of corporations in today's information society.

An Economist Book of the Year Every minute of every day, our data is harvested and exploited... It is time to pull the plug on the surveillance economy. Governments and hundreds of corporations are spying on you, and everyone you know. They're not just selling your data. They're selling the power to influence you and decide for you. Even when you've explicitly asked them not to. Reclaiming privacy is the only way we can regain control of our lives and our societies. These governments and corporations have too much power, and their power stems from us--from our data. Privacy is as collective as it is personal, and it's time to take back control. Privacy Is Power tells you how to do exactly that. It calls for the end of the data economy and proposes concrete measures to bring that end about, offering practical solutions, both for policymakers and ordinary citizens.

This is the first full-length study of digital identity in a transactional context, from a legal perspective. The functions and legal nature of digital identity are analysed using real examples which highlight the implications for individuals, businesses and government. The findings have the potential to fundamentally change the way digital identity is legally and commercially regarded.

"Technology is a great servant but a terrible master. This is the most important book ever written about one of the most significant aspects of our lives--the consequences of our addiction to online technology and how we can liberate ourselves and our children from it." --Dean Ornish, M.D. Founder & President, Preventive Medicine Research Institute, Clinical Professor of Medicine, UCSF, Author, The Spectrum Technology: your master, or your friend? Do you feel ruled by your smartphone and enslaved by your e-mail or social-network activities? Digital technology is making us miserable, say bestselling authors and former tech executives Vivek Wadhwa and Alex Salkever. We've become a tribe of tech addicts--and it's not entirely our fault.   Taking advantage of vulnerabilities in human brain function, tech companies entice us to overdose on technology interaction. This damages our lives, work, families, and friendships. Swipe-driven dating apps train us to evaluate people like products, diminishing our relationships. At work, we e-mail on average 77 times a day, ruining our concentration. At home, light from our screens is contributing to epidemic sleep deprivation.   But we can reclaim our lives without dismissing technology. The authors explain how to avoid getting hooked on tech and how to define and control the roles that tech is playing and could play in our lives. And they provide a guide to technological and personal tools for regaining control. This readable book turns personal observation into a handy action guide to adapting to our new reality of omnipresent technology.

If you wanted to build a machine that would distribute propaganda to millions of people, distract them from important issues, energize hatred and bigotry, erode social trust, undermine respectable journalism, foster doubts about science, and engage in massive surveillance all at once, youwould make something a lot like Facebook. Of course, none of that was part of the plan. In this fully updated paperback edition of Antisocial Media, Siva Vaidhyanathan explains how Facebook devolved from an innocent social site hacked together by Harvard students into a force that, while it may makepersonal life just a little more pleasurable, makes democracy a lot more challenging. It's an account of the hubris of good intentions, a missionary spirit, and an ideology that sees computer code as the universal solvent for all human problems. And it's an indictment of how "social media" hasfostered the deterioration of democratic culture around the world, from facilitating Russian meddling in support of Trump's election to the exploitation of the platform by murderous authoritarians in Burma and the Philippines. Both authoritative and trenchant, Antisocial Media shows how Facebook'smission went so wrong.

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations, and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code-without halting the advance of data-driven scientific exploration.

Do video games cause violent, aggressive behavior? Can online games help us learn? When it comes to video games, these are often the types of questions raised by popular media, policy makers, scholars, and the general public. In this collection, international experts review the latest research findings in the field of digital game studies and weigh in on the actual physical, social, and psychological effects of video games. Taking a broad view of the industry from the moral panic of its early days up to recent controversies surrounding games like Grand Theft Auto, contributors explore the effects of games through a range of topics including health hazards/benefits, education, violence and aggression, addiction, cognitive performance, and gaming communities. Interdisciplinary and accessibly written, The Video Game Debate reveals that the arguments surrounding the game industry are far from black and white, and opens the door to richer conversation and debate amongst students, policy makers, and scholars alike.

Interviews with female gamers about structural sexism across the gaming landscape When the Nintendo Wii was released in 2006, it ushered forward a new era of casual gaming in which video games appealed to not just the stereotypical hardcore male gamer, but also to a much broader, more diverse audience. However, the GamerGate controversy six years later, and other similar public incidents since, laid bare the internalized misogyny and gender stereotypes in the gaming community. Today, even as women make up nearly half of all gamers, sexist assumptions about the what and how of women's gaming are more actively enforced. In Gaming Sexism, Amanda C. Cote explores the video game industry and its players to explain this contradiction, how it affects female gamers, and what it means in terms of power and gender equality. Across in-depth interviews with women-identified gamers, Cote delves into the conflict between diversification and resistance to understand their impact on gaming, both casual and "core" alike. From video game magazines to male reactions to female opponents, she explores the shifting expectations about who gamers are, perceived changes in gaming spaces, and the experiences of female gamers amidst this gendered turmoil. While Cote reveals extensive, persistent problems in gaming spaces, she also emphasizes the power of this motivated, marginalized audience, and draws on their experiences to explore how structural inequalities in gaming spaces can be overcome. Gaming Sexism is a well-timed investigation of equality, power, and control over the future of technology.

Are algorithms friend or foe? The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we decide not take a bite of food that appears to have gone bad. However, inherent bias negatively affects work environments and the decision-making surrounding our communities. While the creation of algorithms and machine learning attempts to eliminate bias, they are, after all, created by human beings, and thus are susceptible to what we call algorithmic bias. In Understand, Manage, and Prevent Algorithmic Bias, author Tobias Baer helps you understand where algorithmic bias comes from, how to manage it as a business user or regulator, and how data science can prevent bias from entering statistical algorithms. Baer expertly addresses some of the 100+ varieties of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors--and originates in--these human tendencies. Baer dives into topics as diverse as anomaly detection, hybrid model structures, and self-improving machine learning. While most writings on algorithmic bias focus on the dangers, the core of this positive, fun book points toward a path where bias is kept at bay and even eliminated. You'll come away with managerial techniques to develop unbiased algorithms, the ability to detect bias more quickly, and knowledge to create unbiased data. Understand, Manage, and Prevent Algorithmic Bias is an innovative, timely, and important book that belongs on your shelf. Whether you are a seasoned business executive, a data scientist, or simply an enthusiast, now is a crucial time to be educated about the impact of algorithmic bias on society and take an active role in fighting bias. What You'll Learn Study the many sources of algorithmic bias, including cognitive biases in the real world, biased data, and statistical artifact Understand the risks of algorithmic biases, how to detect them, and managerial techniques to prevent or manage them Appreciate how machine learning both introduces new sources of algorithmic bias and can be a part of a solution Be familiar with specific statistical techniques a data scientist can use to detect and overcome algorithmic bias Who This Book is For Business executives of companies using algorithms in daily operations; data scientists (from students to seasoned practitioners) developing algorithms; compliance officials concerned about algorithmic bias; politicians, journalists, and philosophers thinking about algorithmic bias in terms of its impact on society and possible regulatory responses; and consumers concerned about how they might be affected by algorithmic bias