More Than Computers

A brief meditation on the role of technology in his own life and how it has changed the landscape of the United States from "America's greatest philosopher on sustainable life and living" (Chicago Tribune). "A number of people, by now, have told me that I could greatly improve things by buying a computer. My answer is that I am not going to do it. I have several reasons, and they are good ones." Wendell Berry first challenged the idea that our advanced technological age is a good thing when he penned "Why I Am Not Going to Buy a Computer" in the late 1980s for Harper's Magazine, galvanizing a critical reaction eclipsing any the magazine had seen before. He followed by responding with "Feminism, the Body, and the Machine." Both essays are collected in one short volume for the first time.

Illustrations and text provide information on the inner workings of computers, printers, and the Internet, discussing the boot-up process, hardware, microchips, data-storage, input/output devices, and multimedia.

Computer scientists are working on reproducing all human skills using artificial intelligence, machine learning and robotics. Unsurprisingly then, many people worry that these advances will dramatically change work skills in the years ahead and perhaps leave many workers unemployable. This report develops a new approach to understanding these computer capabilities by using a test based on the OECD’s Survey of Adult Skills (PIAAC) to compare computers with human workers. The test assesses three skills that are widely used at work and are an important focus of education: literacy, numeracy and problem solving with computers. Most workers in OECD countries use the three skills every day. However, computers are close to reproducing these skills at the proficiency level of most adults in the workforce. Only 13% of workers now use these skills on a daily basis with a proficiency that is clearly higher than computers. The findings raise troubling questions about whether most workers will be able to acquire the skills they need as these new computer capabilities are increasingly used over the next few decades. To answer those questions, the report’s approach could be extended across the full range of work skills. We need to know how computers and people compare across all skills to develop successful policies for work and education for the future.

“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is 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 are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.

There is a companion web site asssociated with the book (http://vsicomputer.wordpress.com/). It contains chapter summaries, links to relevant material and posts about items of news relevant to the book's contents. Computers have changed so much since the room-filling, bulky magnetic tape running monsters of the mid 20th century. They now form a vital part of most people's lives. And they are more ubiquitous than might be thought - you may have more than 30 computers in your home: not just the desktop and laptop but think of the television, the fridge, the microwave. But what is the basic nature of the modern computer? How does it work? How has it been possible to squeeze so much power into increasingly small machines? And what will the next generations of computers look like? In this Very Short Introduction, Darrel Ince looks at the basic concepts behind all computers; the changes in hardware and software that allowed computers to become so small and commonplace; the challenges produced by the computer revolution - especially whole new modes of cybercrime and security issues; the Internet and the advent of 'cloud computing'; and the promise of whole new horizons opening up with quantum computing, and even computing using DNA. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

The cry for and against computers in the classroom is a topic of concern to parents, educators, and communities everywhere. Now, from a Silicon Valley hero and bestselling technology writer comes a pointed critique of the hype surrounding computers and their real benefits, especially in education. In High-Tech Heretic, Clifford Stoll questions the relentless drumbeat for "computer literacy" by educators and the computer industry, particularly since most people just use computers for word processing and games--and computers become outmoded or obsolete much sooner than new textbooks or a good teacher. As one who loves computers as much as he disdains the inflated promises made on their behalf, Stoll offers a commonsense look at how we can make a technological world better suited for people, instead of making people better suited to using machines.

Taking its cue from practices of reading texts in literary and cultural studies, this book considers the computer game as a new and emerging mode of contemporary storytelling. In a carefully organized study, Barry Atkins discusses questions of narrative and realism in four of the most significant games of the last decade: Tomb Raider, Half-Life, Close Combat and SimCity. This is a work for both the student of contemporary culture and those game-players who are interested in how computer games tell their stories.