Scientific Definition
Treating AI as more humanlike than it is.
Plain-English Definition
Treating AI as more humanlike than it is.
Feynman Explanation
It said 'I think' and we believed it.
Core Principle
Treating AI as more humanlike than it is.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
It said 'I think' and we believed it.
Examples
- Users attributing intent, emotion, and ethics to LLMs.
- Risk of misreading model behavior.
Pending editorial review.
Famous Experiments
Pending editorial review.
Design Principles
- Interface design that resists misleading anthropomorphic cues.
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.
- Interface design that resists misleading anthropomorphic cues.
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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.
Reduced vigilance with automated systems.
Quantifying uncertainty in model outputs.
Confident outputs that are factually wrong.
Matching trust in a system to its actual reliability.
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.