Scientific Definition
Quantitative measures of model behavior across groups.
Plain-English Definition
Quantitative measures of model behavior across groups.
Feynman Explanation
Several mathematical definitions of fairness. They conflict.
Core Principle
Quantitative measures of model behavior across groups.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Several mathematical definitions of fairness. They conflict.
Examples
- Demographic parity, equalized odds, calibration.
- Trade-offs require explicit choices.
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Famous Experiments
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Design Principles
- Pick fairness criteria deliberately. Document the choice.
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.
- Pick fairness criteria deliberately. Document the choice.
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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.
When the agent acts, who's responsible?
Categorizing AI use cases by risk level.
Systematic skew in model behavior across groups.
Testing model behavior on hypothetical alternate inputs.
Adding noise to data to protect individual privacy.
Training models across devices without centralizing data.
Bypassing model safety constraints.
Individual speed gains hide collective quality decline.
Malicious instructions hidden in user input or retrieved content.
Adversarial testing of AI systems.
Foundational skills erode through AI offloading.
Concentration risk on a single AI provider.