Earned Autonomy
AI trust · 01
Autonomy is a permission—not a feature.
Every action an AI system takes is authority a product team chose to grant.
AI
01 / 08
The tension · 02
Capability can rise overnight. Trust cannot.
Trust grows through repeated evidence: good judgment, visible limits, and graceful recovery when the system is wrong.
02 / 08
The autonomy ladder · 03
Increase permission one rung at a time.
01
Assist
Find and summarize context.02
Recommend
Suggest a decision to a human.03
Prepare
Complete work pending approval.04
Act
Execute inside explicit limits.05
Adapt
Change approach within monitored bounds.
03 / 08
Permission design · 04
Define the system’s rights before its intelligence.
01
What may it see?
Data, context, and memory.02
What may it change?
Tools, records, and customer states.03
What needs approval?
Thresholds and human checkpoints.04
How is it reversed?
Undo, escalation, and recovery.
04 / 08
The safety system · 05
More autonomy requires faster recovery.
01
Detect
Know when behavior drifts02
Contain
Limit the blast radius03
Reverse
Undo the action04
Learn
Improve the system
05 / 08
What to measure · 06
Evaluate the system after the model.
Model evidence
Was the output good?
Accuracy, groundedness, consistency, and known failure modes.Product evidence
Did the outcome improve?
Human behavior, workflow quality, recovery, and real-world impact.06 / 08
Graduation criteria · 07
A system earns its next permission with evidence.
Quality
Reliable enough
On realistic and difficult cases.Behavior
Used as intended
Without harmful overreliance.Operations
Observable in production
With owners and alerts.Recovery
Reversible by design
Before impact compounds.07 / 08
The principle · 08
Let autonomy grow at the speed of proof.
Move quickly on learning. Move deliberately on permission.
- Start at the lowest useful rung.
- Define evidence before exposure.
- Expand only when recovery is ready.
08 / 08
Slide 1: Autonomy is a permission—not a feature.