Tag Archive: Investment

Power on the Precipice

September 4, 2020

Avril Haines will host CSET Senior Fellow Andrew Imbrie for a discussion of his new book, Power on the Precipice, which outlines a strategy for maintaining U.S. global leadership in a turbulent world.

Plus, New Zealand’s Algorithm Charter, the House Intel Authorization Act and ODNI’s AI principles.

Global R&D and a New Era of Alliances

Melissa Flagg
| June 2020

Research and development funding and technological leadership are crucial to sustaining America’s comparative advantages. While the prevailing narrative suggests that China leads in a bipolar competition, in reality, the United States and its allies comprise a majority of global R&D.

The United States and its allies must develop targeted and coordinated policies to respond to unwanted Chinese technology transfer—gathering more data, raising awareness of tech transfer, and coordinating investment screening procedures as part of a broader agenda of technology alliance cooperation.

Ngor Luong was a Senior Research Analyst at the Center for Security and Emerging Technology (CSET).

Plus, Google announces chatbot Meena, DOJ charges three academics, and Bennet criticizes White House AI memo

How do we measure leadership in artificial intelligence, and where does the United States rank? This policy brief examines potential AI strengths of the United States and China and prescribes recommendations to ensure the United States remains ahead.

Zachary Arnold was the Project Lead for CSET’s Emerging Technology Observatory.

This product is a Chinese translation of the DoD Defense Innovation Board's AI Principles, originally published in October 2019.

Chinese Public AI R&D Spending: Provisional Findings

Ashwin Acharya and Zachary Arnold
| December 2019

China aims to become “the world’s primary AI innovation center” by 2030. Toward that end, the Chinese government is spending heavily on AI research and development (R&D)—but perhaps not as heavily as some have thought. This memo provides a provisional, open-source estimate of China’s spending.