Scientific Definition
Matching trust in a system to its actual reliability.
Plain-English Definition
Matching trust in a system to its actual reliability.
Feynman Explanation
Too much trust ships errors. Too little wastes capability.
Core Principle
Matching trust in a system to its actual reliability.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Too much trust ships errors. Too little wastes capability.
Examples
- Users either over-trusting or rejecting AI outputs.
- Adoption strategy and risk management.
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Famous Experiments
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Design Principles
- Surface confidence intervals. Train users on appropriate skepticism.
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.
- Surface confidence intervals. Train users on appropriate skepticism.
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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.
Treating AI as more humanlike than it is.
Reduced vigilance with automated systems.
Quantifying uncertainty in model outputs.
Confident outputs that are factually wrong.
Written rules about how AI may be used internally.
Innovators → early adopters → majority → laggards, AI-specific.
AI system that takes actions to achieve goals, often across tools.
When the agent acts, who's responsible?
Augmentation strategy vs. substitution strategy.
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.