Social Machines and the New Future PDF ePub eBook

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Social Machines and the New Future free pdf Will your next doctor be a human, or a machine? Will you have a choice? If you do, what should you know before making it? Social Machines introduces the technically-engaged reader to two converging technologies: artificial intelligence in its modern incarnation and the growing trend of social networking to "reach off the Web" into the real world. Each of these is important in its own right, but when they come together, they will lead to an inflection point in our relationship with machines - to a partnership which can have profound impacts on the future of computing, but of the world in which we live. Many people view the triumph of the computer Watson over the world's best Jeopardy players in 2011 as the leading edge of a new age of smart machines. Since then, we have seen self-driving cars, smart search engines, and increasingly able robots moving from the realm of science fiction to deployed technology. As this occurs, we increasingly hear dystopian futurists bemoan a world where drones will replace pilots, computers will replace doctors, and scientists will be put out of work as intelligent computers increasingly replace the knowledge workers in modern society. They worry whether, as scientist Steven Hawking stated, "Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last." In this book, AI expert and researcher James Hendler explores these artificial intelligence systems not just based on their social implications, but also explaining the technologies that make them possible. As the increasing power of machine learning is coupled with more and more data, we see potential areas where machines will, indeed, start to surpass humans in new and unusual ways. At the same time, when we explore the reality of these machines, we uncover the surprising fact that most of the smarts are still coming from humans - but not the humans who write the progra ms. Rather, the behaviors of large numbers of humans whether implicit, such as in what they are searching for on the Web, or explicit, as when they write articles for Wikipedia or share status on Facebook, is the fuel from which the machines derive their power. The individual, whether human or machine, is no match for the power of the two combined. In fact, "social machines" which bring large numbers of humans and computers together may not be something to fear, but rather the last and best hope to solve the complex problems facing our world. Social Machine: The Coming JoyfulCollision of Artificial Intelligence, Social Networking and Humanity is your field guide to the future of your own relationship with the machines--and the people like yourself connected with them--that are already changing your life.

About James Hendler

James Hendler is the Director of the Institute for Data Exploration and Applications and the Tetherless World Professor of Computer, Web and Cognitive Sciences at RPI. He also serves as a Director of the UK's charitable Web Science Trust. Hendler has authored over 250 technical papers in the areas of Semantic Web, artificial intelligence, agent-based computing and high performance processing. One of the originators of the Semantic Web, Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of the American Association for Artificial Intelligence, the British Computer Society, the IEEE and the AAAS. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. He is also the first computer scientist to serve on the Board of Reviewing editors for Science. In 2010, Hendler was named one of the 20 most innovative professors in America by Playboy magazine and was selected as an Internet Web Expert by the US government. In 2012, he was one of the inaugural recipients of the Strata Conference Big Data awards for his work on large-scale open government data, and he is a columnist and associate editor of the Big Data journal. In 2013, he was appointed by the governor as the Open Data Advisor to New York State and in 2014, he won a prestigious IBM faculty award for his work on cognitive computing and artificial intelligence.

Details Book

Author : James Hendler
Publisher : APress
Data Published :
ISBN : 148421157X
EAN : 9781484211571
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 200 pages
Age + : 15 years
Language : English
Rating :

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