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Federal AI transformation is accelerating, pilots are moving into production, procurement is tightening and oversight scrutiny is increasing. Yet many programs stall after early gains because usage is inconsistent, ROI doesn't persist and leaders lack visibility into how workforce performance shifts once AI is introduced. A core risk is that AI's fluent output can mask weaker reasoning and over-reliance, creating an "illusion of competence" that standard government controls (data, validation, bias, auditability) don't fully address.
Join us for a complimentary webinar to learn how Original Intelligence (OI) adds a "human layer" of measurement to AI controls. OI is a measurable human capability that expands beyond AI's statistical norm and uses AI as an accelerant to thinking. This baseline identifies over-reliance, prevents homogenization and ensures training dollars are properly allocated.
In this session, you'll learn:
- How to recognize early "plateau" indicators in AI programs and why they often aren't technology-limit problems
- How AI fluency conceals weak reasoning and practical implications for mission quality
- How to think about responsible AI for technical governance and human factors
- Why measurement is needed to identify over-reliance and guide investments
- How a readiness baseline supports defensible adoption planning