Model Cards
Documentation of model purpose, performance, limitations, and risks.
"Nutrition labels for AI."
What is Model Cards? Documentation of model purpose, performance, limitations, and risks. Required for responsible enterprise deployment.
Standard practice from major model providers.
Required for responsible enterprise deployment.
Maintain model cards for every production system.
Pick what to reward the model for.
Documentation of model purpose, performance, limitations, and risks. In the wild: Standard practice from major model providers.
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Model Cards
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 Model Cards 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 Model Cards most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Model Cards?
- If we removed every payoff for Model Cards, what behavior would replace it?
- Who benefits when Model Cards persists — and who pays the cost?
- People defend the status quo using the language of model cards.
- 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 Model Cards through 3 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Model Cards?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Model Cards?
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 Model Cards, 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.
Inventory of models, data, tools, and dependencies in an AI system.
Tracing AI components for risk and compliance.
Cross-functional governance body for AI decisions.
Agents deployed before anyone owns the consequences.
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.
Universities optimize for ranking metrics rather than education quality.
A trend appears in different groups but disappears or reverses when groups are combined.
Under threat, the prefrontal cortex goes offline.
Feelings act as shortcuts for facts.
Start from the desired future and work backward to the steps that make it inevitable.
Temporal illusion where the first moment after a fast event seems stretched.
Innovation destroys old industries and creates new ones.
Cut options by knocking out one attribute at a time, hardest threshold first.
Reasoning from foundational truths rather than from analogy or convention.
We disproportionately prefer rewards now over rewards later.
The longer an idea has survived, the longer it likely will.
Designed for collaboration; produces measurable productivity decline.