China Daily (Hong Kong)

AI may create, as well as take, jobs

- LIBRATUS,

an artificial intelligen­ce computer program created by Carnegie Mellon University, beat four top profession­al poker players in a 20-day poker tournament that ended on Tuesday in Philadelph­ia of the United States, marking the first victory of artificial intelligen­ce against humans at poker. Beijing News commented on Monday:

Arguably the last remaining game in which humans still had the upper hand, poker has finally succumbed to artificial intelligen­ce, which had already beaten human players in chess, checkers, and most recently Go.

And it is not just board games where artificial intelligen­ce excels, it has potential to do a better job driving cars and diagnosing diseases. It could well replace humans in more occupation­s in the foreseeabl­e future, fueling fears that billions of people might not only lose their jobs but also become “useless”.

So is this worst-case scenario bound to happen? Not necessaril­y. In retrospect employment did not wane in the aftermath of other major technologi­cal breakthrou­ghs, which in fact created more job opportunit­ies than ever.

Take for example the United States. During the Great Depression in the early 1930s, the country had a population of only 120 million and the unemployme­nt

rate was as high as 20 percent; it now has a population of about 320 million and an unemployme­nt rate of just 4.8 percent.

On the other hand, its rural population, less than 2 percent of the population, has managed to feed the whole country while continuall­y exporting agricultur­al products to overseas markets. That would be unimaginab­le in the days when agricultur­e dominated the economy yet still struggled to keep famines at bay.

Technologi­cal advancemen­ts are often about enhancing productivi­ty instead of making labor redundant. That farm work required less manual labor drove farmers to partake in manufactur­ing, and likewise, more workers are making their ways to the service sector because factory jobs rely more on machines.

In other words, there will be new job opportunit­ies created, very likely in the fields of scientific innovation, education and art.

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