Data Lineage is tracking where training and inference data came from. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0087, within the Governance family. The core principle: tracking where training and inference data came from. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
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)
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Behavioral Signature
If you can't trace the data, you can't trust the model.
Examples
- Standard requirement in regulated industries.
- Compliance, quality, debugging.
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Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
Most organizations meet this element as a personnel problem. It is not one. The mechanism underneath it operates in the Incentives dimension — what makes behavior more or less likely?. You can recognize it in the field by its signature: if you can't trace the data, you can't trust the model. Every element in the Incentives dimension changes the perceived payoff of an action before the action happens, which is exactly where incentive design has leverage.
How it gets exploited
Left undesigned, compliance, quality, debugging. It is amplified whenever compliance, quality, debugging. Inside organizations that shows up as compliance, quality, debugging. The pattern is the same one Goodhart's Law describes: the measurable proxy attracts the effort, and the purpose behind it quietly loses funding.
How the Lab designs around it
The redesign move is to engineer lineage tracking from day one. The leverage is not in explaining the behavior to people. It is in changing what the behavior earns.
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.
Where Data Lineage is cited in the corpus
Essays, field guides, and diagnostics from The Incentives Lab that apply this element.
- Field guideIncentives: definition, types, examples
The parent field guide for this element.
- ReferenceThe laws of incentives
Goodhart, Campbell, and the Cobra Effect.
- EssayAI Agents Inherit Your Incentives
How this element propagates into automated systems.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about Data Lineage
- What is Data Lineage?
- Data Lineage is tracking where training and inference data came from. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0087, within the Governance family. The core principle: tracking where training and inference data came from. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
- What is an example of Data Lineage?
- Compliance, quality, debugging. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0087).
- How is Data Lineage exploited?
- Compliance, quality, debugging.
- How do you design around Data Lineage?
- Engineer lineage tracking from day one.
- Which behavioral dimension does Data Lineage belong to?
- Data Lineage is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Governance", class "AI-Behavioral Coupling". Its permanent identifier is HBT-INC-0087 and its evidence grade is C.