What Are the 4 Risk Categories of the AI Act?
The EU AI Act classifies every AI system into one of four risk categories. It's the most widely referenced AI regulation framework in the world — and it works nothing like Texas law.
If you're deploying AI that touches both European and Texas markets, understanding the structural difference between these two approaches isn't optional. Here's how both work.
The 4 Risk Categories of the EU AI Act
1. Unacceptable Risk — Banned
AI systems that pose a clear threat to fundamental rights are prohibited entirely. This includes:
- Government social scoring systems
- Real-time remote biometric identification in public spaces (with narrow law enforcement exceptions)
- AI designed to manipulate human behavior through subliminal techniques
- AI exploiting vulnerabilities of specific groups (age, disability)
2. High Risk — Permitted with Strict Obligations
AI systems used in sensitive domains are allowed but carry heavy compliance requirements: risk management systems, data governance, technical documentation, human oversight, accuracy monitoring, and conformity assessments. High-risk categories include:
- AI in hiring, recruitment, and workforce management
- Credit scoring and insurance pricing
- Medical devices and diagnostic AI
- Law enforcement and border control
- Education admissions and assessment
- Critical infrastructure management
3. Limited Risk — Transparency Only
AI systems that interact with people must disclose they are AI. No further compliance requirements beyond transparency. This covers chatbots, AI-generated content, and deepfake generators.
4. Minimal Risk — No Specific Obligations
The vast majority of AI systems — spam filters, recommendation engines, video game AI — fall here. No compliance requirements under the EU AI Act.
How Texas Does It Differently
Texas TRAIGA (HB 149) doesn't use risk categories at all. It regulates AI by intent — defining 7 specific practices that are prohibited regardless of the AI system's risk classification.
| Dimension | EU AI Act | Texas TRAIGA |
|---|---|---|
| Regulatory model | Risk-based (4 tiers) | Intent-based (prohibited practices) |
| Classification | AI system categorized by use case | AI system screened against 7 prohibited intents |
| Compliance trigger | Risk tier determines obligations | Deployer type determines obligation stack |
| Legal defense | Conformity assessment | NIST AI RMF alignment (codified safe harbor) |
| Enforcement | National authorities + €35M penalties | Texas AG only + $200K/violation |
| Cure period | None specified | 60-day cure window |
Why This Matters for Multi-Jurisdiction Deployers
If your AI system is classified as “minimal risk” under the EU AI Act, you might assume compliance is handled. But that same system could trigger a TRAIGA violation in Texas if it was designed or deployed with prohibited intent — regardless of its EU risk classification.
The reverse is also true: an AI system that clears all 7 TRAIGA prohibited practice screens could still require full high-risk conformity assessment under the EU AI Act based on its use case.
EU compliance does not equal Texas compliance. They regulate different things using different logic. Organizations operating in both jurisdictions need separate compliance architectures for each.
The Texas Advantage: Clarity
The EU AI Act's risk classification system is broad and subject to interpretation — determining whether your system qualifies as “high risk” can require legal analysis. Texas is more binary: your AI system either has prohibited intent or it doesn't. You either haveNIST AI RMF documentation or you don't.
That clarity makes Texas compliance more automatable — and the60-day cure window gives deployers a structured path to remediation that the EU AI Act doesn't offer.
For organizations navigating both frameworks, the practical starting point is the same: inventory your AI systems, document your governance processes, and build your evidence trail before enforcement asks for it.
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