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KurzweilAI.net

KurzweilAI.net

Research shows that Internet is rewiring our brains / UCLA Today The generation gap has been upgraded. In a world brimming with ever-advancing technology, the generations are now separated by a "brain gap" between young "digital natives" and older "digital immigrants," according to Dr. Gary Small, director of UCLA's Memory and Aging Research Center at the Semel Institute for Neuroscience and Human Behavior, and UCLA's Parlow-Solomon Chair on Aging. "We know that technology is changing our lives. The human brain is malleable, always changing in response to the environment, Small said. Digital natives — young people born into a world of laptops and cell phones, text messaging and twittering — spend an average of 8 1/2 hours each day exposed to digital technology. On the opposite end of the spectrum, digital immigrants, born into a world of pocket calendars you penciled dates into and letters that got sent in the mail, have to work hard to embrace technology without the already-developed brain form and function.

Extract from "Computer Power and Human Reason" That last posting jogged my memory and I dug out the following text that has been lying around forgotten in my filesystem for almost ten years. The following extract is taken from a chapter by Joesph Weizenbaum that originally appeared in his book "Computer Power and Human Reason". I came across it in a book that I am currently reading: Computerization and Controversy: Value Conflicts and Social Choices edited by Charles Dunlop and Rob Kling, published by Academic Press, Inc. Weizenbaum's chapter is entitled "Against the Imperialism of Instrumental Reason" in the section on Ethical Perspectives and Professional Responsibilities. I would recommend the book to every computer scientist. "I want them [teachers of computer science] to have heard me affirm that the computer is a powerful new metaphor for helping us understand many aspects of the world, but that it enslaves the mind that has no other metaphors and few other resources to call on.

Revealing your moment of truth - McKinsey Quarterly - Organization - Talent The purpose of leadership isn’t to increase shareholder value or the productivity of work teams, though effective leadership does these things. Rather, the purpose of leadership is to change the world around you in the name of your values, so you can live those values more fully and use them to make life better for others. The process of leadership is to turn your values into a compelling cause for others. After all, you can’t live your top personal values at work without the support of your people. But could they, without hesitation, pick your values from a long list? To change this dynamic, you must reset the standard of what’s possible in the relationship between you and your people. To pull this feat off, you’ll have to step out from behind whatever protection your job title affords and make yourself willingly vulnerable. One executive’s moment of truth “I grew up in a very small town in the Deep South. “I was a fast little girl—weighed almost nothing, and most of it was legs.

MindMentor, Your robocoach Lewis Mumford Lewis Mumford, KBE (October 19, 1895 – January 26, 1990) was an American historian, sociologist, philosopher of technology, and literary critic. Particularly noted for his study of cities and urban architecture, he had a broad career as a writer. Mumford was influenced by the work of Scottish theorist Sir Patrick Geddes and worked closely with his associate the British sociologist Victor Branford. Life[edit] Mumford was born in Flushing, Queens, New York, and graduated from Stuyvesant High School in 1912.[2] He studied at the City College of New York and The New School for Social Research, but became ill with tuberculosis and never finished his degree. Mumford's earliest books in the field of literary criticism have had a lasting impact on contemporary American literary criticism. In his early writings on urban life, Mumford was optimistic about human abilities and wrote that the human race would use electricity and mass communication to build a better world for all humankind.

Computer Power and Human Reason - Wikipedia, the free encycloped Joseph Weizenbaum's influential 1976 book Computer Power and Human Reason: From Judgment To Calculation (San Francisco: W. H. Freeman, 1976; ISBN 0-7167-0463-3) displays his ambivalence towards computer technology and lays out his case: while artificial intelligence may be possible, we should never allow computers to make important decisions because computers will always lack human qualities such as compassion and wisdom. Weizenbaum makes the crucial distinction between deciding and choosing. Deciding is a computational activity, something that can ultimately be programmed. It is the capacity to choose that ultimately makes us human. Comments printed on the back cover illustrate how the Weizenbaum's commentary and insights were received by the intelligentsia of the time: "Dare I say it? — Keith Oakley, Psychology Today "A thoughtful blend of insight, experience, anecdote, and passion that will stand for a long time as the definitive integration of technological and human thought."

jabberwacky - live chat bot - AI Artificial Intelligence chatbot - jabber wacky - talking robot - chatbots - chatterbot - chatterbots - jabberwocky - take a Turing Test - Loebner Prize - Chatterbox Challenge - entertainment robots, robotics, marketing, ga Artificial Intelligence AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other.[5] Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications. The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects.[6] General intelligence is still among the field's long-term goals.[7] Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. History[edit] Research[edit] Goals[edit] Planning[edit] Logic-based

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