Table of Contents
Atlas of AI
The hidden costs of artificial intelligence – from natural resources and labor to privacy, equality, and freedom.
The Coming Wave
From the ultimate AI insider, Mustafa Suleyman, co-founder of DeepMind, part of Google. Soon you will live surrounded by AIs. They will organise your life, operate your business, and run core government services.
None of us are prepared.
The Age of AI
AI is revolutionizing how we approach security, economics, order and even knowledge itself.
It is changing how we experience reality, and our role within it.
Computer Power and Human Reason
First published in the USA in 1977, this is a book on the impact of computers and the integration of scientific and humanistic thinking. The book is a computer scientist’s elucidation of the impact of scientific rationality on man’s self-image.
A World Without Work By Daniel Susskind
From mechanical looms to combustion engines to early computers, new technologies have always provoked panic about workers being replaced by machines. In the past, such fears have been misplaced, and many economists maintain that they remain so today. Yet in A World Without Work, Daniel Susskind shows why this time really is different. Advances in artificial intelligence mean that all kinds of jobs are increasingly at risk.
Rebooting AI by Gary Marcus and Ernest Davis
Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a robust artificial intelligence that can make our lives better.
Artificial Intelligence Basics: A Non-Technical Introduction
Artificial Intelligence Basicshas arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more.
Artificial Intelligence: A Modern Approach (4th Edition)
ArtificialIntelligence: A Modern Approach explores the full breadth and depth of the field of artificialintelligence (AI). The 4th Edition brings readers up to date on the latest technologies,presents concepts in a more unified manner, and offers new or expanded coverageof machine learning, deep learning, transfer learning, multi agent systems,robotics, natural language processing, causality, probabilistic programming,privacy, fairness, and safe AI.
Artificial Intelligence for Dummies (2nd Edition)
Forget far-away dreams of the future. Artificial intelligence is here now!
Every time you use a smart device or some sort of slick technology―be it a smartwatch, smart speaker, security alarm, or even customer service chat box―you’re engaging with artificial intelligence (AI). If you’re curious about how AI is developed―or question whether AI is real―Artificial Intelligence For Dummies holds the answers you’re looking for.
A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going
From Oxford’s leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: Artificial Intelligence
A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.
This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory.
Artificial Intelligence by Melanie Mitchell (2020)
As a seasoned computer science professor, Melanie Mitchell is well-placed to introduce newcomers to the technical and expansive world of artificial intelligence. Mitchell’s one-stop “Guide for Thinking Humans” is a robust and comprehensive overview spanning the origins of AI, how machines think and learn, ethical concerns – and even whether robots respond to rewards and incentives.
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Society is changing, one learning algorithm at a time, from search engines to online dating, personalized medicine to predicting the stock market. But learning algorithms are not just about Big Data – these algorithms take raw data and make it useful by creating more algorithms.
AI Superpowers: China, Silicon Valley, and the New World Order by Kai-Fu Lee
In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.
Human Compatible by Stuart Russell (2019)
Creating superior intelligence would be the biggest event in human history. Unfortunately, according to the world’s pre-eminent AI expert, it could also be the last. In this groundbreaking book on the biggest question facing humanity, Stuart Russell explains why he has come to consider his own discipline an existential threat to his own species, and lays out how we can change course before it’s too late. There is no one better placed to assess the promise and perils of the dominant technology of the future than Russell, who has spent decades at the forefront of AI research.
How to Create a Mind: The Secret of Human Thought Revealed by Ray Kurzweil
In How to Create a Mind, Ray Kurzweil offers a provocative exploration of the most important project in human-machine civilisation: reverse engineering the brain to understand precisely how it works and using that knowledgse to create even more intelligent machines.
AI 2041 by Kai-Fu Lee and Chen Qiufan (2021)
In this ground-breaking blend of imaginative storytelling and scientific forecasting, a pioneering AI expert and a leading writer of speculative fiction join forces to answer an imperative question: How will artificial intelligence change our world within twenty years?
Novacene by James Lovelock (2019)
The creator of the Gaia hypothesis and the greatest environmental thinker of our time has produced an astounding new theory about the future of life on Earth. James Lovelock argues that the anthropocene – the age in which humans acquired planetary-scale technologies – is, after three centuries, coming to an end. A new age – the novacene – has already begun.
Life 3.0 by Max Tegmark (2017)
AI is the future – but what will that future look like? Will superhuman intelligence be our slave, or become our god?
Taking us to the heart of the latest thinking about AI, Max Tegmark, the MIT professor whose work has helped mainstream research on how to keep AI beneficial, separates myths from reality, utopias from dystopias, to explore the next phase of our existence.
Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
The brain has always had a fundamental advantage over conventional computers: it can learn. However, a new generation of artificial intelligence algorithms, in the form of deep neural networks, is rapidly eliminating that advantage. Deep neural networks rely on adaptive algorithms to master a wide variety of tasks, including cancer diagnosis, object recognition, speech recognition, robotic control, chess, poker, backgammon and Go, at super-human levels of performance. In this richly illustrated book, key neural network learning algorithms are explained informally first, followed by detailed mathematical analyses.
