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HBT-INC-0072 · Dimension INC · Incentives

Concept Drift

The relationship between inputs and outputs changes.

Workflow·AI-Behavioral Coupling·Grade C·draft· enriching…
In one paragraph

Concept Drift is the relationship between inputs and outputs changes. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0072, within the Workflow family. The core principle: the relationship between inputs and outputs changes. 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

The relationship between inputs and outputs changes.

Plain-English Definition

The relationship between inputs and outputs changes.

Feynman Explanation

What 'good' means moves; the model doesn't notice.

Core Principle

The relationship between inputs and outputs changes.

Mechanisms

Psychological

Pending editorial review.

Behavioral Economic

Pending editorial review.

Neurological

Pending editorial review.

Evolutionary

Pending editorial review.

Sociological

Pending editorial review.

Computational

Pending editorial review.

Systems

Pending editorial review.

Inputs (Triggers)

Pending editorial review.

Outputs (Behaviors)

Pending editorial review.

Behavioral Signature

What 'good' means moves; the model doesn't notice.

Examples

Everyday
  • Customer behavior shifts post-pandemic.
Modern (Organizational)
  • Quiet performance erosion.
Historical

Pending editorial review.

Lab Commentary

Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.

Why this element matters to incentive design

When this element shows up in a diagnostic, the instinct is to train people out of it. Training rarely moves it. 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: what 'good' means moves; the model doesn't notice. 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, quiet performance erosion. It is amplified whenever quiet performance erosion. Inside organizations that shows up as quiet performance erosion. 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 monitor outcomes, not just inputs and outputs. Watch for it at the boundaries: handoffs, promotions, incident reviews, and budget cycles are where this element gets its power.

Famous Experiments

Pending editorial review.

Design Principles

  • Monitor outcomes, not just inputs and outputs.

Measurement Approaches

Pending editorial review.

Evidence

Evidence Grade
C (A strongest → E speculative)
Replication
★★☆☆☆
Intervention Confidence
3 / 5
Consensus
Pending editorial review (HBT v1.0 auto-seed).
Limitations
Pending editorial review (HBT v1.0 auto-seed).
Open Research Questions

Pending editorial review.

Primary References

Pending editorial review.

Signature Section

The Perverse Incentive Lens™

How this behavior is exploited — and how to redesign around it.

Exploitation
Quiet performance erosion.
Amplifying Incentives
Quiet performance erosion.
Org Failure Modes
Quiet performance erosion.
Societal Failure Modes
Pending editorial review (HBT v1.0 auto-seed).
Ethical Considerations
Pending editorial review (HBT v1.0 auto-seed).
Redesign Strategies
Monitor outcomes, not just inputs and outputs.
Diagnostic Questions
  • Monitor outcomes, not just inputs and outputs.
Warning Signs

Pending editorial review.

Red Flags

Pending editorial review.

Intervention Playbook
Individual
Monitor outcomes, not just inputs and outputs.
Team
Pending editorial review (HBT v1.0 auto-seed).
Organization
Pending editorial review (HBT v1.0 auto-seed).
Policy
Pending editorial review (HBT v1.0 auto-seed).
AI Implications
Detection
Pending editorial review (HBT v1.0 auto-seed).
Measurement
Pending editorial review (HBT v1.0 auto-seed).
Mitigation
Pending editorial review (HBT v1.0 auto-seed).
Responsible Use
Pending editorial review (HBT v1.0 auto-seed).

Interactive Mini Network

Click any neighbor to re-center the graph and follow the threads of connection.

HBT-INC-0072 · INC
Concept Drift
CDAgAgentAWAI-First Workflow De…CWContext WindowDDData DriftEmEmbeddingEDEval DriftEFEvaluation Framework…ILIn-Context LearningLBLatency BudgetMDModel Distillation

Knowledge Graph Neighbors

Where Concept Drift is cited in the corpus

Questions about Concept Drift

What is Concept Drift?
Concept Drift is the relationship between inputs and outputs changes. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0072, within the Workflow family. The core principle: the relationship between inputs and outputs changes. 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 Concept Drift?
Quiet performance erosion. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0072).
How is Concept Drift exploited?
Quiet performance erosion.
How do you design around Concept Drift?
Monitor outcomes, not just inputs and outputs.
Which behavioral dimension does Concept Drift belong to?
Concept Drift is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Workflow", class "AI-Behavioral Coupling". Its permanent identifier is HBT-INC-0072 and its evidence grade is C.

Version History

v1.1.0 · 2026-06-28Initial auto-seed from corpus.