This page lists trusted frameworks and references used across this site.
How You Should Use This Page
You don’t need to study every framework in detail.
Instead:
- Use this page as a reference when reading articles
- Check definitions when you see unfamiliar concepts
- Use frameworks to validate AI-related decisions
👉 In simple terms:
Read → Understand → Verify using these standards
How These Are Used on This Site
These frameworks are not just references.
They are used to:
- Explain how AI systems work
- Analyze risks and limitations
- Structure real-world workflows
- Support responsible AI usage
👉 This ensures all content is grounded in reliable standards.
NIST AI Risk Management Framework (AI RMF 1.0)
👉 Learn more (official):
https://www.nist.gov/itl/ai-risk-management-framework
Used for:
- Risk evaluation
- Governance structure
- Monitoring AI systems
Why it matters:
Helps ensure AI systems are reliable and accountable.
👉 See this applied in:
OECD AI Principles
👉 Learn more (official):
https://www.oecd.org/going-digital/ai/
Used for:
- Ethical AI design
- Transparency
- Accountability
Why it matters:
Widely accepted global AI governance standard.
👉 See this applied in:
ISO/IEC 22989
👉 Learn more (official):
https://www.iso.org/standard/74296.html
Used for:
- Standard AI terminology
- System definitions
Why it matters:
Provides consistent language for AI systems.
👉 See this applied in:
Where You Will See This Used
- In AI risk discussions → NIST
- In governance explanations → OECD
- In definitions and terminology → ISO
👉 These references support the explanations provided across all articles on this site.