AI (Artificial Intelligence): Further Reading

"If you want to know about AI, read this book It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence."-Peter Thiel A cutting-edge AI researcher and tech entrepreneur debunks the fantasy that superintelligence is just a few clicks away-and argues that this myth is not just wrong, it's actively blocking innovation and distorting our ability to make the crucial next leap. Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. A tech entrepreneur and pioneering research scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence, and what it would take to get there. Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. This is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don't correlate data sets: we make conjectures informed by context and experience. Human intelligence is a web of best guesses, given what we know about the world. We haven't a clue how to program this kind of intuitive reasoning, known as abduction. Yet it is the heart of common sense. That's why Alexa can't understand what you are asking, and why AI can only take us so far. Larson argues that AI hype is both bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we want to make real progress, we will need to start by more fully appreciating the only true intelligence we know-our own.

A 2022 Choice Outstanding Academic Title This book surveys and examines the most famous philosophical arguments against building a machine with human-level intelligence. From claims and counter-claims about the ability to implement consciousness, rationality, and meaning, to arguments about cognitive architecture, the book presents a vivid history of the clash between the philosophy and AI. Tellingly, the AI Wars are mostly quiet now. Explaining this crucial fact opens new paths to understanding the current resurgence AI (especially, deep learning AI and robotics), what happens when philosophy meets science, and the role of philosophy in the culture in which it is embedded. Organising the arguments into four core topics - 'Is AI possible', 'Architectures of the Mind', 'Mental Semantics and Mental Symbols' and 'Rationality and Creativity' - this book shows the debate that played out between the philosophers on both sides of the question, and, as well, the debate between philosophers and AI scientists and engineers building AI systems. Up-to-date and forward-looking, the book is packed with fresh insights and supporting material, including: - Accessible introductions to each war, explaining the background behind the main arguments against AI - Each chapter details what happened in the AI wars, the legacy of the attacks, and what new controversies are on the horizon. - Extensive bibliography of key readings

This book contains the operational readiness framework, providing step-by-step guidance to enterprises to prepare themselves for the scaled adoption of generative AI. Different enterprises have reacted differently to the generative AI hype. The real value of generative AI lies in the scaled adoption. Only 10 percent of the enterprises have been able to scale. A staggering 90 percent of them are lagging. This has caused a "huge gap" between the scaling and lagging firms. Closing this huge gap is a daunting task. To bridge this gap, enterprises must be operationally ready in the following four areas: Customer Technology Data People This book contains the operational readiness framework, providing step-by-step guidance to enterprises to prepare themselves for the scaled adoption of generative AI. Although the framework is primarily for the executives, leaders, managers, consultants, strategists, and transformation drivers at the lagging firms, the scaling firms can use it to assess their current operational readiness levels and mitigate the prevailing gaps. It can also provide useful insights to the entrepreneurs in the generative AI value chain to develop unique solutions. Additionally, it can help technology and management students to align themselves better to embrace new challenges of the corporate world they will soon enter. The success of this book lies in how effectively the readers apply the framework at their workplace. This book is not just about information...it's all about transformation!

A humanist manifesto for the age of AI Artificial intelligence may be the most transformative technology of our time. As AI's power grows, so does the need to figure out what--and who--this technology is really for. AI Needs You argues that it is critical for society to take the lead in answering this urgent question and ensuring that AI fulfills its promise. Verity Harding draws inspiring lessons from the histories of three twentieth-century tech revolutions--the space race, in vitro fertilization, and the internet--to empower each of us to join the conversation about AI and its possible futures. Sharing her perspective as a leading insider in technology and politics, she rejects the dominant narrative, which often likens AI's advent to that of the atomic bomb. History points the way to an achievable future in which democratically determined values guide AI to be peaceful in its intent; to embrace limitations; to serve purpose, not profit; and to be firmly rooted in societal trust. AI Needs You gives us hope that we, the people, can imbue AI with a deep intentionality that reflects our best values, ideals, and interests, and that serves the public good. AI will permeate our lives in unforeseeable ways, but it is clear that the shape of AI's future--and of our own--cannot be left only to those building it. It is up to us to guide this technology away from our worst fears and toward a future that we can trust and believe in.