Scientific Definition
Models trained to follow a written set of principles.
Plain-English Definition
Models trained to follow a written set of principles.
Feynman Explanation
Bill of rights for the bot.
Core Principle
Models trained to follow a written set of principles.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Bill of rights for the bot.
Examples
- Anthropic's Claude training methodology.
- Customization frameworks for enterprise deployments.
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Famous Experiments
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Design Principles
- Write your enterprise constitution before deploying agents at scale.
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.
- Write your enterprise constitution before deploying agents at scale.
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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.
Optimizing a proxy of the goal degrades the actual goal.
Outer: the spec matches our intent. Inner: the model actually pursues the spec.
The trained model develops its own internal optimizer.
What the model is actually optimizing.
Maximizing the reward signal in unintended ways.
Reinforcement learning from human feedback.
The model achieves the goal as stated, not as intended.
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.