Explainability vs. Interpretability
Why did it produce this? vs. How does it work?
"Different questions. Different methods. Both useful."
What is Explainability vs. Interpretability? Why did it produce this? vs. How does it work? Compliance, user trust, debugging.
SHAP values vs. mechanistic interpretability.
Compliance, user trust, debugging.
Match the tool to the question.
Pick what to reward the model for.
Why did it produce this? vs. How does it work? In the wild: SHAP values vs.
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Explainability vs. Interpretability
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 Explainability vs. Interpretability 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 Explainability vs. Interpretability most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Explainability vs. Interpretability?
- If we removed every payoff for Explainability vs. Interpretability, what behavior would replace it?
- Who benefits when Explainability vs. Interpretability persists — and who pays the cost?
- People defend the status quo using the language of explainability vs. interpretability.
- 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 Explainability vs. Interpretability through 4 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
- Layer 8Organizational Psychology
What is the org actually rewarding — versus claiming to reward?
- Layer 11Economics & Mechanism Design
Who pays, who is paid, and what does the price signal hide?
- Layer 13Leadership
What kind of leadership move does this situation actually require?
- Layer 15AI & Alignment
What proxy reward is the AI optimizing — and what is it ignoring?
Do you actually know Explainability vs. Interpretability?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Explainability vs. Interpretability?
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 Explainability vs. Interpretability, 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.
Sun Tzu's ancient treatise on strategy, deception, and positioning.
Fame as a goal rewards spectacle over substance.
Believing previously learned misinformation even after it has been corrected.
Substance dependence distorts judgment and accelerates decline.
Gigerenzer's view: simple heuristics that exploit the structure of the environment can beat complex models.
Following the group instead of using private information or independent judgment.
We climb from raw data to action through selection, meaning-making, and assumption — usually invisibly.
Rick Hanson: 'Velcro for negative, Teflon for positive.' The brain encodes threats faster and stickier than rewards.
Positive self-evaluation tied to recognized achievement.
The default coordination outcome people converge on without communicating.
Rapidly replacing an unwanted internal image with a desired one to disrupt a habitual response.
Bloom-stacked curriculum that pairs passive online content with facilitated, experiential, and implementation phases.