Nina Xiang, a veteran China-based tech journalist who has tracked the Chinese Artificial Intelligence (AI) industry for years, interviewed hundreds of people and traveled to dozens of Chinese cities. He collected his often counterintuitive findings and compared the state of affairs between China en primarily the United States of America. Themes within the broad spectrum of AI that are covered in Red AI: Victories and Warnings From China’s Rise In Artificial Intelligence are face recognition, autonomous driving, robotics, manufacturing of AI chips, speech recognition, fintech AI (credit checks), and healthcare AI (medical imaging).
Although the author marveled at the speed of development of China since the 1980s and enjoyed the improved US-China relationship in 2019, more recent trade disputes brought Xiang to a different conclusion. The Chinese approach to life, government, business, individual behavior, and global politics is very different from the American Dream. Although speeding up since its third world country status some decennia back, the Chinese AI industry is far from overtaking the US in terms of technology, freedom to apply AI inventions, and deliver top-notch quality.
The insiders peek may offset your convictions and contradict what you read in newspapers and see in documentaries of investigative journalists from Western countries.
About the author
Nina Xiang is an expert on the Chinese venture capital and technology sector with nearly twenty years of financial and business media experience. She has held editorial positions at Bloomberg BusinessWeek, Euromoney Institutional Investor, China Radio International, and China Business Network in Beijing, New York, Shanghai, and Hong Kong.
In 2011, she founded China Money Network, a platform tracking China’s smart investments and technology innovation. She is an agenda contributor for the World Economic Forum and was named Female Entrepreneur of the Year at the ChinaBang Awards 2019.
I received a free advanced review copy through BookSirens.com in exchange for my personal, unbiased review upon reading.