AI as a Shield · 5.3
📋 AI Governance & Frameworks
The rulebooks that keep AI trustworthy, safe, and legal⏱ ~2 min
As AI makes bigger decisions, governments and industry have created frameworks for building it responsibly. You don't need to memorize these as a beginner — but knowing the names and what they're for makes you sound informed and points you to authoritative guidance.
The Frameworks Worth Knowing By Name
| Framework | Who Made It | What It's For |
|---|---|---|
| NIST AI RMF | US Govt (NIST, 2023) | Managing risk and building trustworthy AI across its lifecycle |
| OWASP Top 10 for LLMs | OWASP community | The most critical security risks in LLM applications |
| MITRE ATLAS | MITRE | Cataloging real adversarial attacks against AI systems |
| EU AI Act | European Union | The first major AI law — risk-based rules for AI in the EU |
| ISO/IEC 42001 | ISO | International standard for AI management systems |
The Big Ideas Behind All of Them
- •Transparency — people should know when they're dealing with AI and how it decides
- •Fairness — AI shouldn't discriminate; biased data must be identified and addressed
- •Accountability — a human or organization must be responsible for what the AI does
- •Safety & robustness — AI should behave reliably and resist attacks and misuse
- •Privacy — training data and user data must be protected
★ FactThe EU AI Act, which entered into force in 2024, is the world's first comprehensive AI law. It sorts AI uses by risk level: some (like social scoring by governments) are banned outright, while high-risk uses (like AI in hiring or medical devices) face strict requirements. Expect more countries to follow — AI regulation is a growing career field of its own.
💡 TipYou don't need to read these cover to cover. Bookmark them. When you build something real, they become checklists that catch problems you'd never think of on your own — that's their whole value.
🧠Quick Checkfirst try = +5 XP
Which framework catalogs the top security risks in LLM applications?
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