Equipping the Federal Workforce for AI
Effective AI talent management is central to ensuring the federal workforce can responsibly develop, deploy and govern emerging technologies. Leaders from the National Institutes of Health, Department of Education and Maximus discuss strategies for upskilling employees, leveraging partnerships and building trust in AI adoption.
Learn more about:
- How agencies are aligning workforce development with new federal AI directives.
- NIH’s approach to employee upskilling, generative AI adoption and governance.
- Overcoming workforce fears and fostering a culture of responsible AI experimentation.
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Kathleen Featheringham VP, AI, Maximus -
Mahua Mitra Chief of Enterprise Platform Services, CIT, NIH -
Davon Tyler CISO and Director, Enterprise Cybersecurity Group, Education
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Pentagon Memo Creates Unified Tech Enterprise for Acquisition Modernization
War Secretary names Emil Michael "single CTO" in charge of a consolidated defense innovation portfolio as the department builds a single operating system for modernization.
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Navy Embraces New Risk Posture to Speed Tech Delivery
As global threats intensify, leaders push cultural and structural reforms to accelerate software and data capabilities at the edge.
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Congressional Spending Deal Could Revive Technology Modernization Fund
A $1.2 trillion minibus would extend the TMF through Sept. 30, unlocking nearly $200 million and preserving momentum for federal modernization projects.
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NIST Launches ARIA to Redefine How AI Is Evaluated
NIST's ARIA aims to measure real‑world AI behavior, moving beyond accuracy scores to capture risks revealed through model testing, red‑teaming and field trials.
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