Resources
Articles, posts, and materials on decision quality and AI governance.
Weekly posts: Human in Control
A weekly series exploring what it means to retain real human control over AI systems. Each post is a short, standalone piece — no jargon, no sales pitch.
The tool nobody owned
Apr 15, 2026How control is lost through quiet adoption without deliberate ownership.
Autonomous systems — what can be stopped?
Apr 8, 2026Monitoring is not control. Review is retrospective. The ability to intervene must exist while the system operates.
Output vs. ownership
Apr 1, 2026The difference between generating output and owning outcomes.
The system worked — the outcome didn't
Mar 25, 2026When autonomy changes failure, the question becomes: who was responsible for stopping it?
Decision ownership must remain human
Mar 18, 2026Symbolic ownership is not control. As autonomy scales, decision ownership must remain human.
Accountability vs. responsibility
Mar 11, 2026If accountability is unclear, autonomy becomes risk amplification.
In the loop is not in control
Mar 11, 2026Being in the loop is not the same as being in control. If you can only react after the consequence, the system is already out of control.
Key topics
Decision quality
How decisions deteriorate under pressure, and what structures help preserve judgment.
AI governance
Principles for maintaining human control and accountability in automated systems.
Irreversible decisions
Why some decisions require special handling and how to structure safeguards.
Trust-based systems
How high-trust environments create vulnerability, and what to do about it.
Human in Control Manifest
A concise overview of the framework and the four principles. Suitable for sharing with leaders and boards. Save as PDF directly from the page.
View the manifestWant to discuss further?
I'm available for talks, workshops, and conversations on these topics.
Get in touch