Scientific Definition
Pre-deployment analysis of who loses what.
Plain-English Definition
Pre-deployment analysis of who loses what.
Feynman Explanation
Resistance you didn't see coming will see you coming.
Core Principle
Pre-deployment analysis of who loses what.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Resistance you didn't see coming will see you coming.
Examples
- Stakeholder analysis adapted for AI rollouts.
- Change management foundation.
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Famous Experiments
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Design Principles
- Before deploying: map the loss landscape. Plan compensation.
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.
- Before deploying: map the loss landscape. Plan compensation.
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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.
Innovators → early adopters → majority → laggards, AI-specific.
Discounting algorithmic advice even when superior.
AI bolted onto existing workflows to look forward-leaning.
Redesigning roles around AI capability.
AI pilots that succeed and never scale.
Teams under-reporting AI capability to protect comp or status.
Employees using unauthorized AI tools to get work done.
AI doesn't just replace tasks — it threatens identities.
Written rules about how AI may be used internally.
AI system that takes actions to achieve goals, often across tools.
When the agent acts, who's responsible?
Augmentation strategy vs. substitution strategy.