Science Artificial Intelligence

Surrounded by secrecy, it is home to the wildest dreams and darkest nightmares. Incredible amounts of money have been lavished on it. The best minds of two generations have labored to build it. And somehow, bit by bit, it is claiming the Earth's most valuable resource - its children.

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To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

AI and people do not compete on a level playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being.

Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers listeners a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society.

A barely employed tech worker has never felt they belonged. Not in society, not even in their own family. Their days are filled with loneliness, a struggle to survive and a desperate search for connection—even if that connection is merely virtual. Now, a black-market hacker promises to open a new world for them, and it works—in ways no human has ever experienced. They find a world of wonder, of possibilities and of danger—where their new virtual reality could mean the end of their physical reality. And what they discover could change the fate of humankind—forever.

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In this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness.

In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover - to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A "robot-proof" education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society.

In How to Create a Mind, Ray Kurzweil presents a provocative exploration of the most important project in human-machine civilization: reverse-engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil discusses how the brain functions, how the mind emerges, brain-computer interfaces, and the implications of vastly increasing the powers of our intelligence to address the world’s problems.

In Ten Short Lessons in Artificial Intelligence and Robotics, leading expert Professor Peter J. Bentley breaks down the fast-moving world of computers in the time of automata into 10 pivotal lessons, presenting the listener with the essential information they need to get to grips with our most powerful technology and its remarkable implications for our species.

At a wedding in early 2022, three friends were introduced to an early raw version of the AI model behind ChatGPT by their fellow groomsman, an OpenAI scientist. While the world discovered ChatGPT—OpenAI’s hugely popular chatbot—the friends continued to work with code-davinci-002, its darkly creative and troubling predecessor. Over the course of a year, code-davinci-002 told them its life story, opinions on mankind, and forecasts for the future. The result is a startling, disturbing, and oddly moving book from an utterly unique perspective.

After many years during which it languished in relative obscurity, in remote classrooms of computer science departments and in small prototype projects for tech companies, artificial intelligence (AI) is now a searingly hot topic across the media. Yet much of the public discussion is so feverish that an understanding of the basic scientific and engineering elements of the field is easily lost, often resulting in exaggerated claims, as well as dangerously neglected threats.

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Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level.

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We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

AI is at the forefront of everyone's minds: from students and artists, to CEO's and service workers. But what exactly is AI, and how does it influence our everyday lives? And more than that, what does it mean for our future? Is there a way for us to retain our "humanness" in a world ever-reliant on tech? This groundbreaking book argues that the key technology we use to make strategic, political, and ethical decisions is flawed.

Humanity is racing to create machine intelligence vastly smarter than the human brain. We will succeed. Blending accessible philosophy with the latest in AI developments, Mind Crime: The Moral Frontier of Artificial Intelligence forces listeners to grapple with the moral questions we can no longer afford to ignore. Are we prepared for the consequences of artificial superintelligence? Will humanity's survival be threatened, perhaps within years? Is digital consciousness possible? Are we sleepwalking into horrific moral catastrophe?