The smartest books on Artificial Intelligence
Yuval Noah Harari – Nexus: A History of Information Networks from the Stone Age to Artificial Intelligence
A sweeping historical analysis of how information networks—from myth and writing to algorithms and AI—have shaped human power and social order. Harari explores how technology amplifies both knowledge and ignorance, coordination and manipulation. A thought-provoking account of AI as the latest and most consequential node in humanity’s long informational history.
Mustafa Suleyman & Michael Bhaskar – The Coming Wave: AI, Power and Our Future
A powerful insider account of the coming wave of artificial intelligence and other transformative technologies. Suleyman and Bhaskar examine how AI will concentrate power, reshape states and markets, and challenge existing systems of governance. A compelling call for urgent frameworks of containment and control to prevent technological disruption from overwhelming democratic societies.
Eric Schmidt, Henry A. Kissinger & Daniel Huttenlocher – Genesis: Artificial Intelligence, Hope, and the Human Spirit
A reflective exploration of artificial intelligence through the lenses of geopolitics, technology, and human values. The authors consider how AI transforms power, knowledge, and decision-making while questioning what must remain uniquely human. A cautiously optimistic vision that frames AI as both a civilizational challenge and an opportunity for renewal.
Shoshana Zuboff – The Age of Surveillance Capitalism
A landmark analysis of a new economic order built on the extraction, prediction, and monetization of human behavior. Zuboff exposes how digital platforms and AI-driven systems convert personal experience into data, reshaping power, autonomy, and democracy. An essential work for understanding the deep social and political consequences of data-driven capitalism.
Erik J. Larson – The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do
A rigorous critique of prevailing assumptions about artificial intelligence and machine “understanding.” Larson argues that current AI systems lack genuine reasoning, common sense, and abductive intelligence, relying instead on pattern recognition. A clear and persuasive case for recognizing the fundamental cognitive limits of today’s AI.
Kate Crawford – Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
A critical and well-documented analysis of artificial intelligence as an infrastructure of power rather than a neutral technology. Crawford reveals the hidden social, labor, ecological, and geopolitical costs behind AI systems, from resource extraction to mass surveillance. A key book for understanding AI as a political, economic, and planetary phenomenon.
Kai-Fu Lee – AI Superpowers: China, Silicon Valley, and the New World Order
An insightful comparison of the United States and China in the global AI race, highlighting China’s speed, scale, and data-driven advantages alongside Silicon Valley’s technological leadership. Lee explores the economic and geopolitical consequences of AI dominance, including labor disruption and global power shifts. A strategic overview of how AI is reshaping competition, governance, and world order.
Byung-Chul Han – Infocracy: Digitalization and the Crisis of Democracy
A sharp and provocative essay on how digitalization and information overload undermine public debate and deliberative democracy. Han argues that power today operates less through repression than through infoxication, emotionalization, and attention fragmentation. A radical critique of the new regime of informational domination in digital societies.
Susan Schneider – Artificial Intelligence: A Philosophical Exploration of the Future of Mind and Consciousness
A deep philosophical investigation into the possibilities and limits of artificial intelligence in relation to mind, consciousness, and identity. Schneider examines whether machines could have subjective experience and the ethical and ontological implications of such a future. A work that combines philosophy of mind, cognitive science, and technological foresight.
Helga Nowotny – In AI We Trust: Power, Illusion, and Control of Predictive Algorithms
A critical analysis of the growing power of predictive algorithms and the near-religious faith placed in artificial intelligence. Nowotny explores how AI reshapes our relationship with time, uncertainty, and collective decision-making. A key book for understanding the epistemological, social, and political risks of delegating the future to algorithmic systems.
Margaret A. Boden – Artificial Intelligence
A clear and accessible state-of-the-art overview of artificial intelligence, combining historical background, technical concepts, and philosophical reflections on mind, creativity, and consciousness. Boden examines what AI is, what it can currently do, and its fundamental limits. An essential introduction to the technological, cognitive, and ethical challenges of AI.
Ray Kurzweil – The Singularity Is Near: When Humans Transcend Biology
A bold and optimistic vision of a future in which artificial intelligence and biotechnology converge to overcome human limitations. Kurzweil argues that exponential technological progress will lead to a “singularity” where machine intelligence surpasses human intelligence, transforming life, mind, and society. A landmark work of technological futurism.
Melanie Mitchell – Artificial Intelligence: A Guide for Thinking Humans
A rigorous and accessible introduction to artificial intelligence that cuts through hype and exaggerated promises. Mitchell explains what AI systems actually do, their real achievements, and—above all—their conceptual and cognitive limitations. An essential book for thinking about AI with realism and critical depth.
Ray Kurzweil – The Singularity Is Nearer: When We Merge with AI
A continuation and expansion of Kurzweil’s ideas on technological singularity, focused on the fusion between humans and artificial intelligence. He explores how advances in AI, biotechnology, and nanotechnology will transform mind, body, and human identity. An optimistic vision of human–machine convergence and biological transcendence.
Antonio Damasio – Natural Intelligence and the Logic of Consciousness
A profound study of how consciousness and intelligence emerge from human biological and neurocognitive processes. Damasio develops a logic of the mind that integrates emotion, body, and reason to explain conscious experience. A foundational text for understanding natural intelligence and its relevance to debates on mind, subjectivity, and AI.
Luciano Floridi – The Ethics of Artificial Intelligence
A rigorous philosophical analysis of the ethical foundations of artificial intelligence and its societal impact. Floridi addresses responsibility, justice, transparency, privacy, and the values that should guide the design and use of AI systems. An essential work for approaching AI from a normative, human-centered ethical perspective.
Mark Coeckelbergh – The Political Philosophy of Artificial Intelligence: An Introduction
A systematic introduction to the main political and normative issues raised by artificial intelligence. Coeckelbergh examines AI in relation to power, democracy, justice, labor, and responsibility from a critical philosophical perspective. A clear and well-structured guide to understanding AI as a political and social actor.
Agustín Galán Machío – Artificial Ignorance: To Understand the Power of AI, We Must First Confront Its Ignorance
An original proposal that shifts the focus from the supposed intelligence of AI to its structural limits of knowledge. The book analyzes how human, technical, and social ignorance is embedded and amplified within algorithmic systems, becoming a new form of power. A key contribution to contemporary agnotology and to the sociopolitical critique of artificial intelligence.
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