Writing & research
The decisions behind AI adoption.
Writing from the perspective of an operator: how organizations choose, govern, and adopt AI while developing the people responsible for it.
Essays
- AI governanceUpdated September 20263 min read
Governance as a clearance system
Oversight is real when the conditions for approval are published in advance and a denial tells the team exactly what to do next.
- Organizational capabilityUpdated September 20263 min read
The hidden cost of automating expertise
When automation removes routine work, teams can also lose the practice that develops future experts.
Virginia Tech · Ph.D. in progress
What must people still be able to do?
One question I’m exploring is how organizations keep human recovery usable as they adopt AI.
A documented fallback names a control. Whether it works depends on people’s current capability, available time, and authority to act. I’m exploring a competence floor as a way to describe the human capacity needed to recover within a required timeframe when manual work is part of the plan.
Automation can also change how people learn a job. I want to understand when it erodes needed expertise, when it helps people develop it, and how a manager could tell the difference.
This is an exploratory research interest, not a selected dissertation question or study design. No findings have been established.