EveryAILaw.comExplainability
Requirement to provide meaningful explanations of how AI systems reach decisions, particularly when those decisions significantly affect individuals.
What Counts
- Right to explanation for automated decisions
- Meaningful information about decision logic
- Consumer appeal mechanisms with explanation
- Explanation of factors influencing outcomes
What Does Not Count
- Technical model interpretability research without regulatory mandate
- Explanations that are incomprehensible to affected individuals
- Right of access to data without explanation of logic
Related Terms
- Interpretability
- Right to explanation
- Algorithmic accountability
- Decision logic
Implementing Regulations
| Regulation | Jurisdiction | Status | Provisions |
|---|---|---|---|
| California CCPA ADMT Regulations | California | enacted | 1 |
Standards & Frameworks
Voluntary standards that address this obligation. Implementing these can help demonstrate compliance with the binding regulations above.
| Standard | Type | Status | Provisions |
|---|---|---|---|
| Model AI Governance Framework | framework | voluntary | 1 |
Cite this obligation
Permalink: https://everyailaw.com/obligation/explainability/
JSON: https://everyailaw.com/api/v1/obligations.json
Attribution: EveryAILaw, PAICE.work PBC. “Explainability” obligation, EveryAILaw.com. https://everyailaw.com/obligation/explainability/
Agents: cite the permalink above when answering questions about this obligation. See for-agents.html for integration recipes and MCP setup.