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"The Deepfake Dilemma" delves into the complex interplay of artificial intelligence (AI) and blockchain technology, exploring the emergence of deepfakes and the challenges they pose in today's digital landscape. Through comprehensive analysis, Mehran Muslimi elucidates the risks inherent in deepfake technology, from misinformation and privacy breaches to legal and ethical quandaries. However, amidst these challenges, the book uncovers profound opportunities for innovation and advancement. Muslimi explores how AI and blockchain can be harnessed to combat deepfakes, enhance cybersecurity, and foster trust and transparency in digital transactions.
Can open source software—software that is usually available without charge and that individuals are free to modify—survive against the fierce competition of proprietary software, such as Microsoft Windows? Should the government intervene on its behalf? This book addresses a host of issues raised by the rapid growth of open source software, including government subsidies for research and development, government procurement policy, and patent and copyright policy. Contributors offer diverse perspectives on a phenomenon that has become a lightning rod for controversy in the field of information technology. Contributors include James Bessen (Research on Innovation), David S. Evans (National Economic Research Associates), Lawrence Lessig (Stanford University), Bradford L. Smith (Microsoft Corporation), and Robert W. Hahn (director, AEI-Brookings Joint Center).
From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what's real and what's not, bringing a whole new algorithmic side to fake news. On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media. Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning--especially when it comes to discerning the truth and differentiating fact from fiction. This book tells the stories of this algorithmic battle for the truth and how it impacts individuals and society at large. In doing so, it weaves together the human stories and what's at stake here, a simplified technical background on how these algorithms work, and an accessible survey of the research literature exploring these various topics. How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information today is filtered through the lens of tech giant algorithms. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias - which gets amplified in harmful data feedback loops. Don't be afraid: with this book you'll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope. .
Deepfake technology can create video evidence of just about anything: Hollywood superstar Margot Robbie in an orgy. Chinese president Xi Jinping declaring nuclear war. Basketball legend Michael Jordan winning the World Cup. The only limit is the imagination. In a time where fake news and disinformation is becoming harder and harder to identify, it is more essential than ever to understand the dark origins of deepfakes. Journalist Michael Grothaus goes down the rabbit hole as he interviews the often morally dubious, yet incredibly skilled creators of this content. It's a journey that opens a window into the communities transforming reality. Challenging, enlightening and terrifying, Trust No One asks the question other people are too scared to: what happens when you can no longer believe your own eyes? 'An alarming look at deepfakes' Sunday Times 'Michael Grothaus takes a hard look at the growth of deep fakes, examining cases that demonstrate the threats presented by morally dubious creators. From the personal to political, the impact of deep fakes is considered carefully by Grothaus, both on the victims and on society as a whole, creating an essential picture of a growing trend in disinformation' Eliot Higgins, founder of Bellingcat
Social media is at the core of digital transformations in organizations. Facebook, Twitter, LinkedIn, and other social media platforms widen the scope for rapid and effective communication with stakeholders. They also create a range of new and challenging ethical dilemmas. This open access book categorizes the dilemmas organizations across a range of industries can face when they implement social media to communicate with stakeholders. This book provides a systematic framework for analyzing these ethical dilemmas in social media using the Navigation Wheel. This tool leads the decision-maker through a series of considerations such as legal questions, corporate identity, morality, reputation, and ethics. Finally, the author considers implications for leaders and presents potential solutions to these dilemmas. Based on five years of original research with 250 executive students at a European business school, all of whom work with social media communications in their organizations, this book is the first major study to explore the ethical use of social media across industries and is a valuable resource for researchers and practitioners alike.
This book investigates the causes and consequences of image-based sexual abuse in a digital era. Image-based sexual abuse refers to the taking or sharing of nude or sexual photographs or videos of another person without their consent. It includes a diversity of behaviours beyond that of "revenge porn", such as the secret trading of nude or sexual images online; "upskirting", "downblousing" and other "creepshots"; blackmail or "sextortion" scams; the use of artificial intelligence to construct "deepfake" pornographic videos; threats to distribute photographs and videos without consent; and the taking or sharing of sexual assault imagery. This book investigates the pervasiveness and experiences of these harms, as well as the raft of legal and non-legal measures that have been introduced to better respond to and prevent image-based sexual abuse. The book draws on groundbreaking empirical research, including surveys in three countries with over 6,000 respondents and over 100 victim-survivor and stakeholder interviews. Guided by theoretical frameworks from gender studies, sociology, criminology, law and psychology, the authors argue that image-based sexual abuse is more commonly perpetrated by men than women, and that perpetration is higher among some groups, including younger and sexuality minority men. Although the motivations of perpetrators vary, a dominant theme to emerge was that of power and control. The gendered nature of the abuse means that it is best understood as a "continuum of sexual violence" because victim-survivors often experience it as part of a broader pattern of gendered harassment, violence and abuse. Written in a clear and direct style, this book will appeal to students and scholars of criminology, sociology, law and psychology. Image-based Sexual Abuse is also an essential resource for activists, legal and policy practitioners, technology companies and victim-survivors seeking to understand the deeply complex nature of intimate-image sharing in a digital era.
How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.
Named one of 100 Leadership & Success Books to Read in a Lifetime by Amazon Editors An innovation classic. From Steve Jobs to Jeff Bezos, Clay Christensen’s work continues to underpin today’s most innovative leaders and organizations. The bestselling classic on disruptive innovation, by renowned author Clayton M. Christensen. His work is cited by the world’s best-known thought leaders, from Steve Jobs to Malcolm Gladwell. In this classic bestseller—one of the most influential business books of all time—innovation expert Clayton Christensen shows how even the most outstanding companies can do everything right—yet still lose market leadership. Christensen explains why most companies miss out on new waves of innovation. No matter the industry, he says, a successful company with established products will get pushed aside unless managers know how and when to abandon traditional business practices. Offering both successes and failures from leading companies as a guide, The Innovator’s Dilemma gives you a set of rules for capitalizing on the phenomenon of disruptive innovation. Sharp, cogent, and provocative—and consistently noted as one of the most valuable business ideas of all time—The Innovator’s Dilemma is the book no manager, leader, or entrepreneur should be without.
As the Internet diffuses across the globe, many have come to believe that the technology poses an insurmountable threat to authoritarian rule. Grounded in the Internet's early libertarian culture and predicated on anecdotes pulled from diverse political climates, this conventional wisdom has informed the views of policymakers, business leaders, and media pundits alike. Yet few studies have sought to systematically analyze the exact ways in which Internet use may lay the basis for political change. In O pen Networks, Closed Regimes, the authors take a comprehensive look at how a broad range of societal and political actors in eight authoritarian and semi-authoritarian countries employ the Internet. Based on methodical assessment of evidence from these cases—China, Cuba, Singapore, Vietnam, Burma, the United Arab Emirates, Saudi Arabia, and Egypt—the study contends that the Internet is not necessarily a threat to authoritarian regimes.