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This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."
""AI Race"" explores the transformative power of artificial intelligence, examining its current applications and far-reaching implications for our future. This comprehensive book delves into the rapidly evolving AI landscape, offering readers a balanced view of both the potential benefits and risks associated with advanced AI systems. From healthcare to finance, the book showcases how AI is already reshaping various industries, while also projecting its long-term impact on employment, education, and human cognition. Structured around three core themes—the current state of AI technology, its widespread adoption, and its potential long-term impact—""AI Race"" provides a nuanced analysis of complex issues such as algorithmic bias and AI safety. The book stands out for its interdisciplinary approach, drawing connections between computer science, economics, psychology, and philosophy. It presents cutting-edge research and real-world examples in an accessible style, making it valuable for business leaders, policymakers, and anyone interested in understanding how AI will shape our future. Progressing from fundamental concepts to future scenarios, ""AI Race"" equips readers with the knowledge to navigate an AI-driven world. It addresses ongoing debates in the field, including the potential for artificial general intelligence and the need for algorithmic transparency, encouraging readers to form informed opinions on these critical issues.
AI Superpowers is Kai-Fu Lee's New York Times and USA Today bestseller about the American-Chinese competition over the future of artificial intelligence.
From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the “New Jim Code,” she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture. Visit the book's free Discussion Guide: www.dropbox.com
In The AI Military Race, Denise Garcia examines the complexities entailed in creating a global framework to govern the military use of Artificial Intelligence (AI) by proposing inclusive and humane ways to forge cooperation. Three novel humanist conceptions are introduced: common good governance, transnational networked cooperation, and humanity's security. This academic volume is the first to survey the threats to peace in the shifting world order by investigating the current patterns and trends in the global use of, and investment in, militarizing AI and the development of autonomous systems. Garcia weaves in an insider participant-observer focus on the decade-long high-level diplomatic attempts to set limits in autonomy in weapons systems - known as 'killer robots' - and offers a path for the creation of an international treaty on autonomous weapons, and ways to create common good governance for the militarization of AI. This important study draws on earlier successful cooperation and international law-making in several areas including conventional arms, nuclear and chemical weapons bans, the protection of outer space and the ozone, the Arctic, Antarctica, and the oceans. It offers an appraisal of the way that previous successes in global cooperation can inform the formation of common good governance on AI that is respectful of future generations and protective of human dignity and the common good of humanity.
The term "artificial intelligence" was introduced in 1956. Today's AI is accomplishing the original goal of mirroring human thought processes; it's designed to independently adapt to and learn from new data. AI involves programming machines and robots to automatically complete complicated tasks. The opportunities to simplify and enhance daily life that these machines offer could make them instrumental in advancing the development of humankind. However, concerns about what can be accomplished through robotics, the extent to which humans can control sophisticated AI, and the impact robots and AI will have on labor, warfare, and health must also be considered. This volume presents thoughtful, well-researched essays that help readers analyze this topic and develop their own intelligent viewpoints.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
'The AI does not hate you, nor does it love you, but you are made of atoms which it can use for something else' This is a book about AI and AI risk. But it's also more importantly about a community of people who are trying to think rationally about intelligence, and the places that these thoughts are taking them, and what insight they can and can't give us about the future of the human race over the next few years. It explains why these people are worried, why they might be right, and why they might be wrong. It is a book about the cutting edge of our thinking on intelligence and rationality right now by the people who stay up all night worrying about it. Along the way, we discover why we probably don't need to worry about a future AI resurrecting a perfect copy of our minds and torturing us for not inventing it sooner, but we perhaps should be concerned about paperclips destroying life as we know it; how Mickey Mouse can teach us an important lesson about how to programme AI; and why Spock is not as logical as we think he is.
Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author
Financial Times Best Books of the Year 2018 TechRepublic Top Books Every Techie Should Read Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. Meet the minds behind the AI superpowers as they discuss the science, business and ethics of modern artificial intelligence. Read James Manyika’s thoughts on AI analytics, Geoffrey Hinton’s breakthroughs in AI programming and development, and Rana el Kaliouby’s insights into AI marketing. This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.