The Future of Data Science, Skills and Employment Roundtable Discussion
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In
a 1930 essay, English economist John Maynard Keynes write about the
onset of "a new disease" which he named technological unemployment:
"unemployment due to our discovery of means of economising the use of
labour outrunning the pace at which we can find new uses for labour."
But each time those fears arose in the past, technological innovation
resulted in creating more jobs than it destroyed, causing the majority
of economists to confidently wave away such automation anxieties.
Those
anxieties have reappeared in recent years, as automation is applied to
activities requiring intelligence and cognitive capabilities that not
long ago were viewed as the exclusive domain of humans. The concerns
surrounding AI's long term impact may well be in a class by themselves.
Like no other technology, AI forces us to explore the very boundaries
between machines and humans.
What is the likely impact of AI,
robotics and machine learning on jobs? What kinds of skills are most
important to better co-exist with our increasingly smart machines? What
role should universities play to help us better prepare students for
the 21st Century digital economy?
Chair: Prof. David Gann CBE, Vice President (Innovation)
a 1930 essay, English economist John Maynard Keynes write about the
onset of "a new disease" which he named technological unemployment:
"unemployment due to our discovery of means of economising the use of
labour outrunning the pace at which we can find new uses for labour."
But each time those fears arose in the past, technological innovation
resulted in creating more jobs than it destroyed, causing the majority
of economists to confidently wave away such automation anxieties.
Those
anxieties have reappeared in recent years, as automation is applied to
activities requiring intelligence and cognitive capabilities that not
long ago were viewed as the exclusive domain of humans. The concerns
surrounding AI's long term impact may well be in a class by themselves.
Like no other technology, AI forces us to explore the very boundaries
between machines and humans.
What is the likely impact of AI,
robotics and machine learning on jobs? What kinds of skills are most
important to better co-exist with our increasingly smart machines? What
role should universities play to help us better prepare students for
the 21st Century digital economy?
Chair: Prof. David Gann CBE, Vice President (Innovation)
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