Design Intervention Points for Governable Use
Explore how to create intervention points in AI-enabled workflows to ensure governability under DoD Responsible AI principles. Learn to identify the last safe stop for human oversight, define override and fallback processes, and establish escalation procedures. This lesson helps you design controls that prevent unintended AI-driven actions and maintain traceability and accountability in critical workflows.
A traceability gap is often noticed only after someone has acted on an output. Governability fails earlier, because the workflow gives people no clean way to pause reliance once the output starts moving work. Two AI-enabled workflows can look equally careful on paper, yet only one has a clear last safe stop before the output becomes an automated task.
In the first workflow, an AI assistant drafts a ticket summary and a human edits it before it is shared. In the second, the AI ranks tickets and the top items become tasks automatically. Both workflows can use the same model, the same prompts, and even the same checks. The difference is what the workflow does with ...