Cambridge, Mass. (AFNS) —
This month, the Department of the Air Force-Massachusetts Institute of Technology Artificial Intelligence Accelerator launched their lead AI pilot.
The pilot, hosted by the AI Accelerator’s Education Research Team, is geared toward commanders, senior non-commissioned officers, and civilians in senior leadership roles. The group received 1,400 applicants and selected 200 participants to create diverse coordination across DAF, sister services. Department of Defense School faculty and other government agencies.
During the course’s kick-off event, DAF AIA Director Col. Gary Floyd encouraged participants by asking, “AI exists and is coming to the battlefield. The question is, what are we bringing and what is the pacing threat bringing?”
Colonel Floyd continued, “As you learn about AI’s capabilities and limitations, please know that your AI Accelerator team here will continue to make AI work better in DAF’s use cases through our diverse efforts.”
The AIA’s Education Research Group Examining the challenge of educating, nurturing and growing to support a world-class AI workforce DoD’s AI Education Strategy. With large amounts of data and greater reliance on data-driven technologies, DoD must embrace AI at speed and scale. Rapid adoption depends on building and developing a workforce where all grades and roles can thrive in the digital age.
Over the past two years, the AI Education team has faced the challenge of how to educate an entire workforce as large and diverse as DAF. Previously, AI education took place in traditional academic settings, involving students with requisite knowledge and similar backgrounds. However, to build an AI-ready force, the team is looking at teaching AI and machine learning capabilities to senior leaders, developers and buyers, and to operators who directly use AI — Airmen and Guardians of various rank and responsibility levels. – Enabled capabilities.
Using the DoD AI Education Strategy as their roadmap, the research team examined variables such as pedagogy, content and curriculum, and learning platforms and experiences for the six archetypes identified in the strategy. Archetypes are broken down by role and skill and divided into three main buckets: leaders, developers, and users. In addition to a general foundation, a concentration in archetypes allows appropriate learning based on AI-related roles. The current pilot is leaning towards senior leaders.
“In this pilot, [the cohort] Get a practical grounding in AI and its business applications that will help you transform your organizations into the workforce of the future,” said AIA Deputy Director Major John Radovan during his introductory remarks. “The courses provide a roadmap for the strategic implementation of AI technologies from a leadership context. We hope you can leverage key AI management and leadership insights to support informed, strategic decisions.”
The current team may volunteer to participate in a related study to better understand the optimal learning experience, guide the design of future AI education programs, and inform how scaled-up versions of the program can be scaled up. A diverse cohort provides critical data for the research team to expand and refine for the next iteration. Findings from the study will help inform future business decisions to ultimately advance AI education and the training of an elite, AI-ready workforce.
To know more about upcoming AI education opportunities, check for updates AIA website.