Scientific Definition
Tracking where training and inference data came from.
Plain-English Definition
Tracking where training and inference data came from.
Feynman Explanation
If you can't trace the data, you can't trust the model.
Core Principle
Tracking where training and inference data came from.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
If you can't trace the data, you can't trust the model.
Examples
- Standard requirement in regulated industries.
- Compliance, quality, debugging.
Pending editorial review.
Famous Experiments
Pending editorial review.
Design Principles
- Engineer lineage tracking from day one.
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.
- Engineer lineage tracking from day one.
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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.
Logging of AI inputs, outputs, and decisions.
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.
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.