AI Bill of Materials
Inventory of models, data, tools, and dependencies in an AI system.
"You can't govern what you can't list."
What is AI Bill of Materials? Inventory of models, data, tools, and dependencies in an AI system. Supply chain transparency for AI systems.
Increasingly required by regulators and enterprise procurement.
Supply chain transparency for AI systems.
Maintain AI-BOMs. Update them. Use them for risk review.
Pick what to reward the model for.
Inventory of models, data, tools, and dependencies in an AI system. In the wild: Increasingly required by regulators and enterprise procurement.
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to AI Bill of Materials
One tap. We'll point you at the most useful next surface based on how this hits.
The full taxonomy entry
Every concept in the Atlas uses the same structure — so AI Bill of Materials can be compared, recombined, and cited like an element on a periodic table.
- Business
- Leadership
- Government
- Healthcare
- Education
- Sales
- Marketing
- AI
- Negotiation
- Media
- Public Policy
- Relationships
- Where in our org would AI Bill of Materials most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards AI Bill of Materials?
- If we removed every payoff for AI Bill of Materials, what behavior would replace it?
- Who benefits when AI Bill of Materials persists — and who pays the cost?
- People defend the status quo using the language of ai bill of materials.
- Decisions cluster around the easiest narrative rather than the strongest evidence.
- New data changes the slide deck but not the decision.
- Anyone naming the pattern is treated as the problem.
Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.
See AI Bill of Materials through 2 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know AI Bill of Materials?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes AI Bill of Materials?
Worked example, counter-example & concept map
On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.
When you encounter AI Bill of Materials, your prefrontal cortex has to do extra work to override the automatic response — and that override budget is finite.
Executive control, planning, impulse override, working memory, System 2. First thing to go offline under stress, fatigue, or low blood sugar. Why your 4pm decisions are worse than your 9am ones.
See Prefrontal in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
Written rules about how AI may be used internally.
Logging of AI inputs, outputs, and decisions.
Tracing AI components for risk and compliance.
Cross-functional governance body for AI decisions.
Agents deployed before anyone owns the consequences.
Cryptographic tracking of content origin.
Send the card, not just the link
A pre-rendered social card with the title, eyebrow, and URL. Copy the link, post it anywhere, or download the SVG for slides.
More definitions to follow
Every term in the Atlas connects to a dozen others. Pick any of these and see where it takes you.
A relationship where a small number of inputs account for most outputs.
A quick way to estimate how long it takes an investment to double at a given growth rate.
Easy federal lending lets colleges raise tuition without market discipline.
Annual defense appropriations grow with active conflict, giving institutions a stake in prolonging it.
It's true because authority says so.
The energy needed to refute bullshit is an order of magnitude bigger than to produce it.
Producing fabricated memories or explanations without intent to deceive.
Innovators → early adopters → early majority → late majority → laggards.
Outsourcing self-worth to audiences corrodes intrinsic direction.
Professors rewarded by student evaluations have an incentive to inflate.
Insurers profit when claims are denied, delayed, or abandoned.
Performance degradation as real-world data shifts.