Tag Archive: Talent

In an opinion piece for Foreign Policy, Research Analyst Emily Weinstein argues for the U.S. Department of Justice to clearly define its China Initiative mission.

50 Global Hubs for Top AI Talent

Harvard Business Review
| December 21, 2021

In an analysis on diversity within AI tech talent, a CSET report found that black workers constitute only 11.8% of the AI tech workforce.

Github Analysis Shows India As An Emerging AI Superpower

Analytics India Magazine
| November 15, 2021

CSET's Husanjot Chahal discusses India's economic role as an emerging AI superpower.

In an op-ed for TechCrunch, CSET Research Analyst Dakota Cary examines China's evolution of state-sponsored hackers for cyber espionage.

Federal AI Workforce Development Requires Skills Diversity

Government CIO Media & Research
| November 08, 2021

Skills and diversity are needed for a strong AI workforce according to CSET's Diana Gehlhaus during Government CIO's National Security virtual event.

CSET reports "Assessing the Scope of U.S. Visa Restrictions on Chinese Students" and "Universities and the Chinese Defense Technology Workforce" offer their analysis on how U.S. visa restrictions are affecting Chinese STEM students.

AI Education Catalog

Claire Perkins Diana Gehlhaus Kayla Goode Jennifer Melot Ehrik Aldana Grace Doerfler Gayani Gamage
| October 2021

Created through a joint partnership between CSET and the AI Education Project, the AI Education Catalog aims to raise awareness of the AI-related programs available to students and educators, as well as to help inform AI education and workforce policy.

In an opinion piece for The Hill, Research Fellow Diana Gehlhaus calls for a clear U.S. AI workforce policy if the U.S. wants to be the leader in AI talent drawing from her latest report.

In her latest CSET report, Research Fellow Diana Gehlhaus discusses the United States' lack of a defined AI education and AI workforce policy, and offers policy recommendations.

U.S. AI Workforce: Policy Recommendations

Diana Gehlhaus Luke Koslosky Kayla Goode Claire Perkins
| October 2021

This policy brief addresses the need for a clearly defined artificial intelligence education and workforce policy by providing recommendations designed to grow, sustain, and diversify the U.S. AI workforce. The authors employ a comprehensive definition of the AI workforce—technical and nontechnical occupations—and provide data-driven policy goals. Their recommendations are designed to leverage opportunities within the U.S. education and training system while mitigating its challenges, and prioritize equity in access and opportunity to AI education and AI careers.