photo by @markusspiske
Two years ago, China’s government released an ambitious policy paper, outlining how the country would become the world leader in AI by 2030. China, a decade ahead of schedule, has already been successful in becoming the global AI leader.
Nina Xiang’s newly released book on China’s artificial intelligence sector, Red AI: Victories and Warnings from China’s Rise In Artificial Intelligence, deals with this argument, and provides fresh perspectives on one of the most controversial topics of our time: China’s high-profile AI sector.
In her book, Xiang argues that media assertions describing China as an AI superpower are extremely forward-looking and one-sided, only presenting biased evidence supporting these claims and disregarding contrasting facts.
Her main arguments are that China has a large AI sector, but it is not as strong as we think, and its strengths are not necessarily related to tech prowess. In addition, China AI has fatal flaws and therefore faces great uncertainty in the future.
It is the first book based on thorough investigations into the Chinese AI industry, that unveils what is happening behind the scenes in diverse areas such as facial recognition, surveillance, speech recognition, autonomous driving, robotics, AI chips, healthcare, financial services, and more.
The book offers a formula to a better understanding of China’s AI sector. The sector’s strengths and challenges are represented in the formula as follow: 4S (scale, speed, state support, social indifference) + 3L (late, lag, and long-time).
Learn more about the book: https://www.chinaredai.com/
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