AI Council / Committee is cross-functional governance body for AI decisions. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0020, within the Governance family. The core principle: cross-functional governance body for AI decisions. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
Scientific Definition
Cross-functional governance body for AI decisions.
Plain-English Definition
Cross-functional governance body for AI decisions.
Feynman Explanation
Without it, every team is its own AI policy department.
Core Principle
Cross-functional governance body for AI decisions.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Without it, every team is its own AI policy department.
Examples
- Standard pattern for enterprises with serious AI portfolios.
- Governance infrastructure.
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Original analysis from The Incentives Lab — how this element behaves inside real payoff structures.
Why this element matters to incentive design
The mistake with this element is treating it as irrationality. It is almost always a rational response to a payoff nobody wrote down. The mechanism underneath it operates in the Incentives dimension — what makes behavior more or less likely?. You can recognize it in the field by its signature: without it, every team is its own AI policy department. Every element in the Incentives dimension changes the perceived payoff of an action before the action happens, which is exactly where incentive design has leverage.
How it gets exploited
Left undesigned, governance infrastructure. It is amplified whenever governance infrastructure. Inside organizations that shows up as governance infrastructure. The pattern is the same one Goodhart's Law describes: the measurable proxy attracts the effort, and the purpose behind it quietly loses funding.
How the Lab designs around it
The redesign move is to compose for diversity: legal, technical, ethics, business, frontline. Watch for it at the boundaries: handoffs, promotions, incident reviews, and budget cycles are where this element gets its power.
Famous Experiments
Pending editorial review.
Design Principles
- Compose for diversity: legal, technical, ethics, business, frontline.
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.
- Compose for diversity: legal, technical, ethics, business, frontline.
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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.
Written rules about how AI may be used internally.
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.
Agents deployed before anyone owns the consequences.
Cryptographic tracking of content origin.
Tracking where training and inference data came from.
Comprehensive AI regulation in the EU.
Why did it produce this? vs. How does it work?
Human review at critical AI decision points.
Human oversight without per-decision review.
Documentation of model purpose, performance, limitations, and risks.
Where AI Council / Committee is cited in the corpus
Essays, field guides, and diagnostics from The Incentives Lab that apply this element.
- Field guideIncentives: definition, types, examples
The parent field guide for this element.
- ReferenceThe laws of incentives
Goodhart, Campbell, and the Cobra Effect.
- EssayAI Agents Inherit Your Incentives
How this element propagates into automated systems.
- ReferenceThe incentive glossary
Definitions for every mental model, bias, and fallacy in the corpus.
- CourseIncentives 101
The free ten-part primer on reading a payoff structure.
- ReferenceThe Periodic Table of Human Behavior
The full 1,267-element map this page belongs to.
Questions about AI Council / Committee
- What is AI Council / Committee?
- AI Council / Committee is cross-functional governance body for AI decisions. It sits in the Incentives dimension (INC) of the Human Behavior Taxonomy™ as element HBT-INC-0020, within the Governance family. The core principle: cross-functional governance body for AI decisions. In incentive terms, it matters because it changes the payoff people perceive before they choose — which means it can be designed for, or exploited.
- What is an example of AI Council / Committee?
- Governance infrastructure. The Incentives Lab catalogs everyday, organizational, and historical instances of this element on its Human Behavior Taxonomy™ page (HBT-INC-0020).
- How is AI Council / Committee exploited?
- Governance infrastructure.
- How do you design around AI Council / Committee?
- Compose for diversity: legal, technical, ethics, business, frontline.
- Which behavioral dimension does AI Council / Committee belong to?
- AI Council / Committee is classified in the Incentives dimension (INC) of the Human Behavior Taxonomy™, family "Governance", class "AI-Behavioral Coupling". Its permanent identifier is HBT-INC-0020 and its evidence grade is C.