AI Superpowers

China, Silicon Valley, and the New World Order

Kai-Fu Lee

• Éditeur: Harper Business
• Année: 2018
• ISBN:
  9781328545862
• Sujet: Commerce
• Sous-sujet: Industrie informatique

THE NEW YORK TIMES, USA TODAY, AND WALL STREET JOURNAL BESTSELLER "Kai-Fu Lee believes China will be the next tech-innovation superpower and in AI Superpowers: China, Silicon Valley, and the New World Order, he explains why. Taiwan-born Lee is perfectly positioned for the task."— New York Magazine In this thought-provoking book, Lee argues powerfully that because of the unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power. Most experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well. Is universal basic income the solution? In Lee's opinion, probably not. But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in the future of human history.

Index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

A

Africa, 138, 139, 169

age of data, 14, 18, 56

age of implementation

Chinese entrepreneurs and, 16, 18, 25

Chinese government and, 18

data and, 17, 20, 55, 80

deep learning and, 13–14, 143

going light vs. going heavy, 71

AGI (artificial general intelligence), 140–44

AI. See artificial intelligence (AI)

AI engineers, 14

Airbnb, 39, 49, 73

AI revolution

deep learning and, 5, 25, 92, 94, 143

economic impact of, 151–52

speed of, 152–55

AI winters, 6–7, 8, 9, 10

algorithmic bias, 229

algorithms, AI

AI revolution and, 152–53

computing power and, 14, 56

credit and, 112–13

data and, 14, 17, 56, 138

fake news detection by, 109

intelligence sharing and, 87

legal applications for, 115–16

medical diagnosis and, 114–15

as recommendation engines, 107–8

robot reporting, 108

white-collar workers and, 167, 168

Alibaba

Amazon compared to, 109

Chinese startups and, 58

City Brain, 93–94, 117, 124, 228

as dominant AI player, 83, 91, 93–94

eBay and, 34–35

financial services spun off from, 73

four waves of AI and, 106, 107, 109

global markets and, 137

grid approach and, 95

Microsoft Research Asia and, 89

mobile payments transition, 76

New York Stock Exchange debut, 66–67

online purchasing and, 68

success of, 40

Tencent’s “Pearl Harbor attack” on, 60–61

Wang Xing and, 24

Alipay, 35, 60, 69, 73–74, 75, 112, 118

Alphabet, 92–93

AlphaGo, 1–4, 5, 6, 11,...