Tina Huang was a Research Analyst and CSET’s fellow in artificial intelligence policy for a member of Congress with a leadership role in AI issues. As a Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET), she has focused on the U.S. AI workforce and the strategic implications of military use of AI. Previously, she worked on a variety of national security topics at the Government Accountability Office, the Council on Foreign Relations, International Centre for the Study of Radicalisation, and Georgetown University. Tina is also the curriculum development specialist for Girl Security, where she creates modules aimed at teaching young girls about national security topics and careers, and an Advisory Board Member of the DC Carnegie New Leaders with the Carnegie Council for Ethics in International Affairs. Tina holds an M.A. in Security Studies from Georgetown University and a BA in International Studies from Emory University.

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Analysis

Trusted Partners

February 2021

As the U.S. military integrates artificial intelligence into its systems and missions, there are outstanding questions about the role of trust in human-machine teams. This report examines the drivers and effects of such trust, assesses… Read More

Half of Silicon Valley’s startups have at least one foreign-born founder, and immigrants are twice as likely as native-born Americans to start new businesses. To understand how immigration shapes AI entrepreneurship in particular in the… Read More

National security leaders view AI as a priority technology for defending the United States. This two-part analysis is intended to help policymakers better understand the scope and implications of U.S. military investment in autonomy and… Read More

This brief examines how the Pentagon’s investments in autonomy and AI may affect its military capabilities and strategic interests. It proposes that DOD invest in improving its understanding of trust in human-machine teams and leverage… Read More

The Pentagon has a wide range of research and development programs using autonomy and AI in unmanned vehicles and systems, information processing, decision support, targeting functions, and other areas. This policy brief delves into the… Read More

Today’s research and development investments will set the course for artificial intelligence in national security in the coming years. This Executive Summary presents key findings and recommendations from CSET’s two-part analysis of U.S. military investments… Read More

Analysis

Tracking AI Investment

September 2020

The global AI industry is booming, with privately held firms pulling in nearly $40 billion in disclosed investment in 2019 alone. U.S. companies continue to attract the majority of that funding—64 percent of it in… Read More

New ICE restrictions on foreign students speed up a trend that make it slower and costlier for immigrants to come to the United States, write Zachary Arnold and Tina Huang. America’s historic near-monopoly on the… Read More

“In the past five years, each of America's key economic competitors has instituted policies to attract highly skilled STEM talent," said CSET’s Tina Huang. She and Remco Zwetsloot joined the ChinaTalk podcast to discuss AI… Read More

Current immigration policies may undermine the historic strength of the United States in attracting and retaining international AI talent. This report examines the immigration policies of four U.S. economic competitor nations—the United Kingdom, Canada, France,… Read More

Talent is core to U.S. competitiveness in artificial intelligence, and international graduate students are a large source of AI talent for the United States. Retaining them in this country as they transition into the workforce… Read More

The Forbes AI 50 list “shows that foreign talent is critical to AI innovation—and that for now, the United States can still attract talent from around the world,” write CSET’s Remco Zwetsloot, Tina Huang and… Read More

As the artificial intelligence field becomes more developed globally, the United States will continue to rely on foreign AI talent to stay ahead of the curve. Here are our preliminary recommendations to maintain current U.S. Read More