April 23, 2018
China’s AI talent ‘arms race’
Perhaps, the real ‘arms race’ in artificial intelligence (AI) is not military competition but the battle for talent. Since the vast majority of the world’s top AI experts remain in the US, China is starting out from a position of clear disadvantage in this fight. The New Generation AI Development Plan, released in July 2017, acknowledged, ‘cutting-edge talent for AI is far from meeting demand’. This initial program called for China to ‘accelerate the training and gathering of high-end AI talent’, recognised as an objective ‘of the utmost importance’. Indeed, Chinese leaders are determined to catch up through leveraging a range of talent plans and new educational initiatives.
China’s AI talent insurgency is already underway. In accordance with this plan, China is creating new technical training programs, engaging in aggressive recruitment and constructing AI as an academic discipline.
Read the full article at ASPI
More from CNAS
-
Biotech Matters: Public-Private Coordination of Biotechnology
Reports
An appreciation of biotechnology’s great opportunities is, for many commentators, intimately joined with regret about a disconnect between the U.S. government and the private ...
By Richard Danzig
-
$6.6 billion TSMC deal in Arizona the latest in the CHIPS Act’s rollout
Podcast
“President Biden signed the CHIPS and Science Act just about 20 months ago, which in government time is yesterday. And they’ve hired 200 people,” said Vivek Chilukuri, a senio...
By Vivek Chilukuri
-
Response to NTIA Request for Comment: “Dual Use Foundation Artificial Intelligence Models with Widely Available Model Weights”
Commentary
In February 2024, the Department of Commerce’s National Telecommunications and Information Administration (NTIA) issued a Request for Comment (RFC) on the implications of “ope...
By Caleb Withers
-
Biotech Matters: Great Data Competition and Interoperability with Allies and Partners
Reports
Understanding and strengthening America’s biotechnology leadership requires exploring the limits of existing data relevant to the U.S. bioeconomy so that policymakers and the ...
By Michelle Holko
