Closing the Gap Between AI Potential and Real-World Adoption There is a moment in every organization’s AI journey where the tone shifts. Early on, the conversations are cautious. Measured. A little skeptical, if we are being honest. People are curious, but they are also watching; waiting to see if this is real, or just another […]
Category: Conversations on AI
Scale Without Adding Risk
How AI can support high-volume government services without changing outcomes Starting with low-risk AI is the right move. Helping staff find information faster is a clean entry point. It builds confidence. It proves control. It keeps human judgment in place. But it does not take long before the next question shows up? Where else can […]
Start Where the Risk Is Low
A practical path for responsible AI adoption in government Artificial intelligence is everywhere in the policy conversation right now. Every agency is being asked the same question. How should we use it? For many leaders, the conversation jumps quickly to complex use cases. Automated decisions. Predictive systems. Enforcement support. Eligibility determination. Those are real possibilities. […]
Decision Rights Are the Real Control Plane Part II of the “The Most Overlooked AI Risk is Organizational” Series Why Authority Matters More Than Model Performance I work in federal IT risk. When AI is involved, people tend to focus on whether the model is right. That is rarely the problem. The real problem shows […]
No One Owns the Outcome
No One Owns the Outcome: Why Unclear Ownership Is The First Failure Point Part I of the “The Most Overlooked AI Risk is Organizational” Series I sit on the risk side of federal IT programs. That means I usually get called after something has already gone sideways, or just before leadership realizes it might. When […]
