Kayla Goode was a Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET), where she works on the CyberAI Project. Previously, she worked as a consultant building data visualizations for the Department of Commerce and Department of Homeland Security. She completed her M.A. in Security Studies from Georgetown University and received her B.A. in Peace and Conflict Studies from Colgate University.
Examining Singapore’s AI ProgressMarch 2023
Despite being a small city-state, Singapore’s star continues to rise as an artificial intelligence hub presenting significant opportunities for international collaboration. Initiatives such as fast-tracking patent approval, incentivizing private investment, and addressing talent shortfalls are making the country a rapidly growing global AI hub. Such initiatives offer potential models for those seeking to leverage the technology and opportunities for collaboration in AI education and talent exchanges, research and development, and governance. The United States and Singapore share similar goals regarding the development and use of trusted and responsible AI and should continue to foster greater collaboration among public and private sector entities.
U.S. High School Cybersecurity CompetitionsJuly 2022
In the current cyber-threat environment, a well-educated workforce is critical to U.S. national security. Today, however, nearly six hundred thousand cybersecurity positions remain unfilled across the public and private sectors. This report explores high school cybersecurity competitions as a potential avenue for increasing the domestic cyber talent pipeline. The authors examine the competitions, their reach, and their impact on students’ educational and professional development.
In an opinion piece for The Hill, CSET's Kayla Goode and Dahlia Peterson urge the United States to adopt AI education if it wants to compete with China's AI talent.
AI Education CatalogOctober 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.
Drawing from their CSET report, experts Kayla Goode and Heeu Millie Kim discuss how Indonesia's education and workforce development hold the keys to its AI potential.
U.S. AI Workforce: Policy RecommendationsOctober 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.
The DOD’s Hidden Artificial Intelligence WorkforceSeptember 2021
This policy brief, authored in collaboration with the MITRE Corporation, provides a new perspective on the U.S. Department of Defense’s struggle to recruit and retain artificial intelligence talent. The authors find that the DOD already has a cadre of AI and related experts, but that this talent remains hidden. Better leveraging this talent could go a long way in meeting the DOD’s AI objectives. The authors argue that this can be done through policies that more effectively identify AI talent and assignment opportunities, processes that incentivize experimentation and changes in career paths, and investing in the necessary technological infrastructure.
AI Education in China and the United StatesSeptember 2021
A globally competitive AI workforce hinges on the education, development, and sustainment of the best and brightest AI talent. This issue brief compares efforts to integrate AI education in China and the United States, and what advantages and disadvantages this entails. The authors consider key differences in system design and oversight, as well as strategic planning. They then explore implications for the U.S. national security community.
Education in China and the United StatesSeptember 2021
A globally competitive AI workforce hinges on the education, development, and sustainment of the best and brightest AI talent. This issue brief provides an overview of the education systems in China and the United States, lending context to better understand the accompanying main report, “AI Education in China and the United States: A Comparative Assessment.”
Indonesia’s AI Promise in PerspectiveAugust 2021
The United States and China are keeping an eye on Indonesia’s artificial intelligence potential given the country’s innovation-driven national strategy and flourishing AI industry. China views Indonesia as an anchor for its economic, digital, and political inroads in Southeast Asia and has invested aggressively in new partnerships. The United States, with robust political and economic relations rooted in shared democratic ideals, has an opportunity to leverage its comparative advantages and tap into Indonesia’s AI potential through high-level agreements.
U.S. AI Summer CampsAugust 2021
Summer camps are an integral part of many U.S. students’ education, but little is known about camps that focus on artificial intelligence education. This data brief maps out the AI summer camp landscape in the United States and explores the camps’ locations, target age ranges, price, and hosting organization type.