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AI Snake Oil
From two of TIME’s 100 Most Influential People in AI, what you need to know about AI—and how to defend yourself against bogus AI claims and products Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works and why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work...
Spy Plane
An exclusive behind-the-scenes look at one of America’s most controversial experiments in police surveillance. In 2020, the Baltimore Police Department had an aerial surveillance plane that could supposedly photograph and track every person in public view. Spy Plane reveals what happened with this controversial policing experiment. Drawing from incredible access and direct observations inside the for-profit tech startup that ran the program for Baltimore detectives, sociologist Benjamin H. Snyder recounts real criminal cases as they were worked by police using this untested tool. Deploying aircraft with powerful cameras built by a small company called Persistent Surveillance Systems, the s...
Practicing Trustworthy Machine Learning
With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundation for releasing trustworthy ML applications into a noisy, messy, and often hostile world. You'll learn: Methods to explain ML models and their outputs to stakeholders How to recognize and fix fairness concerns and privacy leaks in an ML pipeline How to develop ML systems that are robust and secure against malicious attacks Important systemic considerations, like how to manage trust debt and which ML obstacles require human intervention
Taming Silicon Valley
How Big Tech is taking advantage of us, how AI is making it worse, and how we can create a thriving, AI-positive world. On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this short but powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most imp...
Dark Machines
This book offers a critical primer on how Artificial Intelligence and digitalization are shaping our planet and the risks posed to society and environmental sustainability. As the pressure of human activities accelerates on Earth, so too does the hope that digital and artificially intelligent technologies will be able to help us deal with dangerous climate and environmental change. Technology giants, international think-tanks and policy-makers are increasingly keen to advance agendas that contribute to “AI for Good” or “AI for the Planet." Dark Machines explores why it is naïve and dangerous to assume converging forces of a growing climate crisis and technological change will act syne...
ARTIFICIAL INTELLIGENCE: ETHICS, RISKS AND OPPORTUNITIES
What is Artificial Intelligence? Why should it matter to you? How can we ensure it is used ethically? Robethics delivers what is missing in today's debate around artificial intelligence and robotics: a methodical and comprehensive overview of key risks and opportunities, with lots of examples of the most promising applications and areas of concern, and deep dives into specific case studies such as self-driving cars, personal robots, lethal autonomous weapons, virtual realities, and content generating chatbots. It also provides practical tools that citizens, activists, and firms can use to assess the ethical implications of those technologies across their life cycle and help ensure a safe and beneficial deployment of robots and artificial intelligence.
AI Needs You
"This brief and accessible book draws lessons from the history and governance of three recent transformative technologies - the space race, in-vitro fertilization (IVF), and the internet - to argue that society can and should take an active role in shaping the future of artificial intelligence (AI). It is a manifesto aimed at empowering the reader to participate in the conversations and political and democratic processes that will determine the intentions of AI, what values and regulations should guide its development, and its future. Artificial intelligence affects most of us every day, from determining what news we read and music we listen to, to influencing credit scores and legal decisio...
The Political Economy of GovTech
The digitalization of public services, known as GovTech, can disrupt traditional mechanisms to promote economic development (for example, financial inclusion, education, and health care), improve the delivery of public services, and expedite development objectives. For GovTech to be successful in enhancing the public sector's efficiency, transparency, and inclusiveness, its design and implementation require that private interests be aligned with the overarching goal of a “citizen-oriented” digitalization. Because the interests of the state and private providers are often antagonistic, the social dividends from GovTech remain contingent on implementing the appropriate market structure through adequate property rights and regulatory oversight.
From Trustworthy AI Principles to Public Procurement Practices
This book is an early warning to public officials, policymakers, and procurement practitioners on the impact of AI on the public sector. Many governments have established national AI strategies and set ambitious goals to incorporate AI into the public infrastructure, while lacking AI-specific procurement guidelines. AI is not traditional software, and traditional processes are not sufficient to meet the challenges AI brings. Today’s decisions to embed AI and algorithmic systems into public system infrastructure can – and will – have serious repercussions in the future. The promise of AI systems is to make the public sector more efficient, effective, fair, and sustainable. However, AI s...
