2017-12-01 06:30:00 Fri ET
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Dr Kai-Fu Lee praises China as the next epicenter of artificial intelligence, smart data analysis, and robotic automation. With prior IT careers at Apple, Microsoft, and Google, Dr Kai-Fu Lee discusses economic inequality as the primary threat of artificial intelligence in the modern era of digital technology. In a recent issue of New York Times, his op-ed article suggests that the key to success for most algorithmic machine learners is the sheer volume of smart data. Computational strength begets better smart data analysis, which then attracts more talents and funds that flow into the subsequent smarter data analysis with a larger network of active users and hot spots.
This virtuous cycle amplifies the computational strength of artificial intelligence. As both income and wealth gravitate toward the most productive use of human capital and computer equipment, economic inequality concentrates both power and money in the hands of a few elites and oligopolies such as Facebook, Apple, Microsoft, Google, and Amazon (FAMGA) in America and Baidu, Alibaba, and Tencent (BAT) in China. For this reason, we need to rethink economic inequality on a global scale.
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Dr Kai-Fu Lee praises China as the next epicenter of artificial intelligence, smart data analysis, and robotic automation. With prior IT careers at Apple, M