Professor Tom Michell, the father of machine learning and head of the Machine Learning Department at Carnegie Mellon University, believes the US is overreacting to AI competition. He says the U.S. has more companies developing artificial intelligence training and experience, and China’s strengths are likely to be more reflected in AI applications based on big data.
For example, in the medical industry, the United States has had electronic archiving of medical documents more than 20 years ago, but to this day it has not been possible to centralize all the electronic documents of healthcare systems across the country to provide a database for machine learning algorithms. The objective reason is that the protection of personal privacy under U.S. law is also related to the medical industry “castle” forest, isolation, self-financing situation. The situation in China is very different. “Once the government decided to set up a nationwide database of electronic documents for medical records … Then the matter will be done. Professor Michel called on Washington to differentiate between “win-win” AI applications and those that are truly sensitive and competitive, such as military AI. He also worries that washington’s vociferous populist rhetoric will isolate foreign scholars in the American academic and educational circles, many of whom play a key role in maintaining America’s world-leading science and technology leadership, many of them Chinese.