Scientific Definition
Logging of AI inputs, outputs, and decisions.
Plain-English Definition
Logging of AI inputs, outputs, and decisions.
Feynman Explanation
If you can't trace it, you can't defend it.
Core Principle
Logging of AI inputs, outputs, and decisions.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
If you can't trace it, you can't defend it.
Examples
- Required for many high-stakes deployments.
- Discovery readiness and incident response.
Pending editorial review.
Famous Experiments
Pending editorial review.
Design Principles
- Log everything. Make logs queryable. Preserve them.
Measurement Approaches
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Evidence
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The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Log everything. Make logs queryable. Preserve them.
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Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
Written rules about how AI may be used internally.
Inventory of models, data, tools, and dependencies in an AI system.
Tracing AI components for risk and compliance.
Cross-functional governance body for AI decisions.
Agents deployed before anyone owns the consequences.
Cryptographic tracking of content origin.
Tracking where training and inference data came from.
Comprehensive AI regulation in the EU.
Why did it produce this? vs. How does it work?
Human review at critical AI decision points.
Human oversight without per-decision review.
Documentation of model purpose, performance, limitations, and risks.