Scientific Definition
Adversarial testing of AI systems.
Plain-English Definition
Adversarial testing of AI systems.
Feynman Explanation
Pay someone to break it before users do.
Core Principle
Adversarial testing of AI systems.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Pay someone to break it before users do.
Examples
- Standard practice for major model launches.
- Pre-deployment risk reduction.
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Famous Experiments
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Design Principles
- Internal and external red-teaming. Continuous, not one-off.
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.
- Internal and external red-teaming. Continuous, not one-off.
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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.
Quantitative measures of model behavior across groups.
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.
Foundational skills erode through AI offloading.
Concentration risk on a single AI provider.