Luke Koslosky is a Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET). He focuses on workforce policy, with an emphasis on increasing access to AI careers through alternative training pathways. His work has been featured in New America and the Hill. Previously, Luke was a Research Associate at the Potomac Institute for Policy Studies, where he worked on science and technology policy and founded the Center for Enterprise, Exploration, and Defense in Space. Luke has also served as a staffer in the House of Representatives. Luke holds a B.S. in Political Science from Santa Clara University.
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Community Colleges Can Expand Pathways to Artificial Intelligence Jobs but More Work is Needed
August 2022A CSET report shares insights on community college-level artificial intelligence workforce training and where further investment is needed.
In his opinion piece in The Hill, Research Analyst Luke Koslosky discusses the role of community colleges in training the next generation of the U.S. AI workforce.
Community and technical colleges offer enormous potential to grow, sustain, and diversify the U.S. artificial intelligence (AI) talent pipeline. However, these institutions are not being leveraged effectively. This report evaluates current AI-related programs and the associated number of graduates. The authors find that few AI and AI-related degrees and certificates are being awarded today. They propose five recommendations to address existing challenges and harness the potential of these institutions to train tomorrow’s AI workforce.
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.
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.