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Computers and Society explores the history and impact of modern technology on everyday human life, considering its benefits, drawbacks, and repercussions. Particular attention is paid to new developments in artificial intelligence and machine learning, and the issues that have arisen from our complex relationship with AI.
This book provides information on trust and risk to businesses that are developing electronic commerce systems and helps consumers understand the risks in using the Internet for purchases and show them how to protect themselves.
Designed for managers struggling to understand the risks in organizations dependent on secure networks, this book applies economics not to generate breakthroughs in theoretical economics, but rather breakthroughs in understanding the problems of security.
What happens when people turn their everyday experience into data: an introduction to the essential ideas and key challenges of self-tracking. People keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of. Gina Neff and Dawn Nafus describe what happens when people turn their everyday experienceâ...
Assessing the most valuable technology for an organization is becoming a growing challenge for business professionals confronted with an expanding array of options. This 2007 book is an A-Z compendium of technological terms written for the non-technical executive, allowing quick identification of what the term is and why it is significant. This is more than a dictionary - it is a concise review of the most important aspects of information technology from a business perspective: the major advantages, disadvantages and business value propositions of each term are discussed, as well as sources for further reading, and cross-referencing with other terms where applicable. The essential elements of each concept are covered in a succinct manner so the reader can quickly obtain the required knowledge without wading through exhaustive descriptions. With over 200 terms, this is a valuable reference for non- and semi-technical managers, executives and graduate students in business and technology management.
WebSci '16: ACM Web Science Conference May 22, 2016-May 25, 2016 Hannover, Germany. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Your company has just announced a major change in its business direction. Even top performers are questioning their job security, and it’s your responsibility to see that productivity and quality levels are not disturbed, or the consequences could be even greater. How do you manage this situation and keep it from snowballing our of control?Downsizing, acquisitions, mergers, and plant closings are examples of changes that impact employees. When change strikes your organization, you need to find a way to position your people to take advantage of the situation, rather than be overcome by it. A rider pits human intelligence against the superior strength of a wild horse, in this case,change.You...
The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek. We depend on—we believe in—algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It's as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman's curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its ro...
The untold history of women and computing: how pioneering women succeeded in a field shaped by gender biases. Today, women earn a relatively low percentage of computer science degrees and hold proportionately few technical computing jobs. Meanwhile, the stereotype of the male “computer geek” seems to be everywhere in popular culture. Few people know that women were a significant presence in the early decades of computing in both the United States and Britain. Indeed, programming in postwar years was considered woman's work (perhaps in contrast to the more manly task of building the computers themselves). In Recoding Gender, Janet Abbate explores the untold history of women in computer sc...