Philosophy Machine

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Everyone has heard of DNA. But by itself, DNA is just an inert blueprint for life. It is the ribosome - an enormous molecular machine made up of a million atoms - that makes DNA come to life, turning our genetic code into proteins and therefore into us. Gene Machine is an insider account of the race for the structure of the ribosome, a fundamental discovery that both advances our knowledge of all life and could lead to the development of better antibiotics against life-threatening diseases.

A paradigm-shifting work that revolutionizes our understanding of the origins and structure of science.

For as long as we’ve studied human cognition, we’ve believed that our senses give us direct access to the world. What we see is what’s really there—or so the thinking goes. But new discoveries in neuroscience and psychology have turned this assumption on its head. What if rather than perceiving reality passively, your mind actively predicts it?

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

Our beliefs constitute a large part of our knowledge of the world. We have beliefs about objects, about culture, about the past, and about the future. We have beliefs about other people, and we believe that they have beliefs as well. We use beliefs to predict, to explain, to create, to console, to entertain. Some of our beliefs we call theories, and we are extraordinarily creative at constructing them. Theories of quantum mechanics, evolution, and relativity are examples.

Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control.

From best-selling author Paul Tough, an indelible and explosive book on the glaring injustices of higher education, including unfair admissions tests, entrenched racial barriers, and crushing student debt. Now updated and expanded for the pandemic era. Combining vivid and powerful personal stories with deep, authoritative reporting, Paul Tough explains how we got into this mess and explores the innovative reforms that might get us out.

Jamie Merisotis, author of the award-winning 2016 book America Needs Talent, argues that people will coexist with smart machines by learning, earning, and serving others over their lifetimes. But Merisotis asserts large-scale change is necessary to develop and hone the knowledge, skills, and abilities that render us uniquely human. These qualities include compassion, critical thinking, ethical reasoning, and interpersonal communication.

When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.

AlphaGo and the Philosophy of Mind is a thought-provoking exploration of the principles of machine learning and its application in the strategy game of Go. This book takes readers through the history of Go and its importance in the world of AI, looking at the philosophical implications of advancing technology and the implications of AlphaGo’s victory over the world’s Go champion. This book is an essential read for anyone interested in the philosophical implications of AI and machine learning.

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. Part II focuses on the 20th and 21st centuries in which a greater density of narratives emerge alongside rapid developments in AI technology.

Whether we like it or not, the AI revolution is coming to education. In Brave New Words, Salman Khan, the visionary behind Khan Academy, explores how artificial intelligence and GPT technology will transform learning, and offers a road map for teachers, parents, and students to navigate this exciting (and sometimes intimidating) new world. A pioneer in the field of education technology, Khan examines the ins and outs of these cutting-edge tools and how they will revolutionize the way we learn and teach.

A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind" - human and machine capabilities working together - has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results?

Artem Chapeye reveals his war, intimate and senseless, withholding nothing about his motivations, his nightmares, his new relationship with the world. Here one man, a pacifist turned fighter, a story writer turned soldier considers the reasons for and reactions to war on a very personal level. Chapeye investigates his role in the Ukrainian people's defense against the Russian army and his responsibilities as a father, a writer, a soldier, and a man of conviction.

As robots are increasingly integrated into modern society - on the battlefield and the road, in business, education, and health - Pulitzer Prize-winning New York Times science writer John Markoff searches for an answer to one of the most important questions of our age: Will these machines help us, or will they replace us?

What if the next spark of consciousness doesn’t come from a brain...but from a machine? In Consciousness in the Machine, Sebastián Barros explores the question that will define our future: Can artificial intelligence become truly aware? Blending science, philosophy, and real-life cases, this book dives into the mystery of the mind, both human and artificial. From dreams and neurons to chatbots that claim to feel, it’s a journey through the edge of intelligence, where ethics blur and machines begin to whisper I am.

For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: The union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.

This audiobook contains a broad overview of time travel in science fiction, along with a detailed examination of the philosophical implications of time travel. The emphasis of this book is now on the philosophical and on science fiction, rather than on physics, as in the author’s earlier books on the subject. In that spirit there are, for example, no tech notes filled with algebra, integrals, and differential equations, as there are in the first and second editions of Time Machines.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.