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    As humans are replaced by machines, what can be done to deal with this human obsolescence?

    Synopsis

    Teachers should define & provide a certain kind of general and insight-bearing learning that computers can't replace.

    ET Bureau
    By Robert J Shillers

    Computers and robots are already replacing many workers. What can young people learn now that won’t be superseded within their lifetimes by these devices and that will secure them good jobs and solid income over the next 20, 30 or 50 years? In the universities, we are struggling to answer that question.

    Most people complete the majority of their formal education by their early 20s and expect to draw on it for the better part of a century.

    But a computer can learn in seconds most of the factual information that people get in high school and college and there will be a great many generations of new computers and robots improving at an exponential rate before one long human lifetime has passed.

    Two strains of thought seem to dominate the effort to deal with this problem. The first is that we teachers should define and provide to our students a certain kind of general, flexible and insight-bearing human learning, that we hope cannot be replaced by computers.

    The second is that we need to make education more business-oriented, teaching about the real world and enabling a creative entrepreneurial process that presumably computers cannot duplicate. These two ideas are not necessarily in conflict.

    Some scholars are trying to discern what kinds of learning have survived technological replacement better than others.

    Richard J Murnane and Frank Levy in their book “The New Division of Labor" (Princeton, 2004) studied occupations that expanded during the information revolution of the recent past. They included jobs like service manager at an auto dealership as opposed to jobs that have declined, like the telephone operator.

    The successful occupations, by this measure, shared certain characteristics: People who practiced them needed complex communication skills and expert knowledge. Such skills included an ability to convey “not just information but a particular interpretation of information." They said that expert knowledge was broad, deep and practical, allowing the solution of “uncharted problems."

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