History Artificial

In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI - the people working on the system, their motivations, the technology itself - is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity.

Robots may one day rule the world, but what is a robot-ruled Earth like? Many think the first truly smart robots will be brain emulations, or ems. Scan a human brain, then run a model with the same connections on a fast computer, and you have a robot brain, but recognizably human. Train an em to do some job and copy it a million times; an army of workers is at your disposal. When they can be made cheaply, within perhaps a century, ems will displace humans in most jobs.

Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. It was the dawn of a new era in artificial intelligence: A machine capable of beating the reigning human champion at this most cerebral game. That moment was more than a century in the making, and in this breakthrough audiobook, Kasparov reveals his astonishing side of the story for the first time. He describes how it felt to strategize against an implacable, untiring opponent with the whole world watching.

Written in an accessible style for all audiences, “How AI Will Shape Our Future” anchors listeners in the history and evolution of Artificial Intelligence, laying the groundwork for a deeper understanding of its trajectory. This equips listeners to engage more thoughtfully with the book’s central theme: What should societies expect from AI in the decades ahead? How does AI actually function? What will its impact be on employment and education, both short-term and long-term? How will AI reshape society, the economy, government, culture, and geopolitics?

The window for wealth is wide open in the cutting edge world of artificial intelligence. The AI market is already valued at nearly $100 billion, and by 2030, it could add $15.7 trillion to the world economy. Safe to say there’s plenty of profit to go around.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI? Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.

Edward Ashford Lee explores the ways that engineers use models and abstraction to build inventive artificial worlds and to give us things that we never dreamed of - for example, the ability to carry in our pockets everything humans have ever published. But he also attempts to counter the runaway enthusiasm of some technology boosters who claim everything in the physical world is a computation - that even such complex phenomena as human cognition are software operating on digital data.

From the simple to the intricate and the audacious to the absurd, Adam Kucharski reveals the long and tangled history between betting and science and explains why gambling continues to generate insights into luck and decision making today. Covering exploits and ideas from across the globe, he meets the teams behind hedge funds that capitalize on inaccurate sports betting odds and explains how PhD-level pundits are using methods originally developed for the US nuclear program to predict sports results.

Hilke Schellmann is an Emmy-award winning investigative reporter, Wall Street Journal and Guardian contributor and Journalism Professor at NYU. In The Algorithm, she investigates the rise of artificial intelligence (AI) in the world of work. AI is now being used to decide who has access to an education, who gets hired, who gets fired, and who receives a promotion. Drawing on exclusive information from whistleblowers, internal documents and real-world tests, Schellmann discovers that many of the algorithms making high-stakes decisions are biased, racist, and do more harm than good.

In this book, you'll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity.

Once relegated to the fringes of society, transhumanism (the use of technology to enhance human intellectual and physical capability) is now poised to enter our cultural mainstream. It has found adherents in Silicon Valley billionaires Ray Kurzweil and Peter Diamandis. Google has entered the picture, establishing a bio-tech subsidiary aimed at solving the problem of aging. In To Be a Machine, journalist Mark O'Connell takes a headlong dive into this burgeoning movement.

Imagine a world where your brain can be interrogated to learn your political beliefs, your thoughts can be used as evidence of a crime, and your own feelings can be held against you. A world where people who suffer from epilepsy receive alerts moments before a seizure, and the average person can peer into their own mind to eliminate painful memories or cure addictions.

The future has amazing technology. Our alien allies have magic. Together, we are building a training system to teach the best of humanity to go to the stars. But the training is monumentally expensive. Stephanie Morgana is a genius, she just doesn't know it. The artificial intelligence that runs the virtual world is charged with testing Stephanie, a task it has never performed before. Will Stephanie pass the test and be moved to the advanced preparatory schools, or will the system miss her?

As it absorbs data, gains agency, and intermediates between humans and reality, AI will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It might well solve some of the greatest mysteries of our universe, revolutionize fields as diverse as medicine and architecture, and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen.

We are now on the doorstep of a fourth change brought about by two technologies: AI and robotics. The Fourth Age provides extraordinary background information on how we got to this point, and how - rather than what - we should think about the topics we’ll soon all be facing: machine consciousness, automation, employment, creative computers, radical life extension, artificial life, AI ethics, the future of warfare, superintelligence, and the implications of extreme prosperity.

It wasn’t supposed to be this hard. If America could send a man to the moon, shouldn’t the best surgeons in the world be able to build an artificial heart? In Ticker, Texas Monthly executive editor and two time National Magazine Award winner Mimi Swartz shows just how complex and difficult it can be to replicate one of nature’s greatest creations. Part investigative journalism, part medical mystery, Ticker is a dazzling story of modern innovation, recounting 50 years of false starts, abysmal failures, and miraculous triumphs.

Humanity has reached a critical moment. Our world is unsettled and rapidly changing, and we face existential risks over the next century. Various outcomes - good and bad - are possible. Yet our approach to the future is characterized by short-term thinking, polarizing debates, alarmist rhetoric, and pessimism. In this short, exhilarating book, renowned scientist and best-selling author Martin Rees argues that humanity’s prospects depend on our taking a very different approach to planning for tomorrow.

There has been a lot of ink devoted to discussions of how robots will replace us and take our jobs. But MIT Media Lab researcher and technology policy expert Kate Darling argues just the opposite, and that treating robots with a bit of humanity, more like the way we treat animals, will actually serve us better.

This audiobook explains why AI is unique, what legal and ethical problems it could cause, and how we can address them. It argues that AI is unlike any other previous technology, owing to its ability to take decisions independently and unpredictably. This gives rise to three issues: responsibility - who is liable if AI causes harm; rights - the disputed moral and pragmatic grounds for granting AI legal personality; and the ethics surrounding the decision-making of AI.

Literary Theory for Robots reveals the hidden history of modern machine intelligence, taking listeners on a spellbinding journey from medieval Arabic philosophy to visions of a universal language, past Hollywood fiction factories, and missile defense systems trained on Russian folktales. In this provocative reflection on the shared pasts of literature and computer science, former Microsoft engineer and professor of comparative literature Dennis Yi Tenen provides crucial context for recent developments in AI, which holds important lessons for the future of humans living with smart technology.