Research. Doctrine. Systems.

I design evidenceinfrastructure for AI.

Evidence is the foundation.Control is the requirement.Responsibility is the outcome.

I build systems for a world where both humans and models can be wrong — so decisions are sourced, verified and accountable. Not confidence. Not automation. Evidence.

Source

Origin and provenance are explicit.

Context

Meaning depends on circumstances.

Control

Systems constrain the allowable.

Proof

Claims must be verifiable.

One standard. Many disciplines.

Law

Rules demand basis. Accountability is built into the system.

General aviation

Procedures exist for a reason. Checklists, cross-checks and limits keep humans in the loop.

Maritime command

Responsibility becomes real when people depend on your judgment under changing conditions.

Human systems

Incentives, culture and information flows shape outcomes as much as technology.

Finance

Discipline is a system. Risk thinking beats prediction every time.

AI needs the same standard. Evidence. Control. Responsibility.

Doctrine — four theses

I.

Evidence over confidence

Confidence is not a substitute for verification. We design for what can be known.

II.

Designing for fallibility

Humans and models will be wrong. Systems should absorb errors, not amplify them.

III.

Responsibility cannot be outsourced

Automation can assist judgment, but it cannot own consequences.

IV.

Human approval is not a button

Oversight requires understanding, context and the genuine right to stop.

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Evidence infrastructure for AIFounder statement
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