Own the Outcome: Responsibility Is Still Human
Explore how the DoD Responsible AI principles translate into practical human responsibilities. Understand the importance of naming accountable owners, defining clear verification steps, and establishing escalation protocols to ensure AI outputs are used appropriately and safely in decision workflows.
The last lesson ended on a practical point. A fluent draft can still move work. The mistake is treating an AI triage note as harmless until someone confirms it. In a real workflow, forwarding is confirmation enough. People act because the message reads like a decision. The output becomes true enough once it gets a task number.
A near miss starts the same way. A triage note summarizes several reports and recommends shifting responders to Location B because Location A is described as stable. The note is wrong, but it is wrong in one subtle detail. A coordinator forwards it and assigns a response team to B. A second person later checks the underlying report ...