What Type of Risk Assessment Should Be Conducted for AI Systems?

You're implementing an AI system. You know you need a risk assessment. But which type?

The answer depends on two things: where your AI operates and what type of organization you are. Here are the four main assessment types, when each is required, and which one covers the most regulatory ground.

The 4 Types of AI Risk Assessment

1. NIST AI RMF Assessment (Broadest Coverage)

The NIST AI Risk Management Framework is the most comprehensive and widely applicable assessment structure. It evaluates your AI governance across four functions:

• Govern — Organizational roles, policies, and accountability structures
• Map — Risk identification specific to each AI system and its context
• Measure — Quantified risk metrics, testing, and validation
• Manage — Controls, monitoring, and continuous improvement

When to use it: Always. NIST AI RMF alignment is the only assessment type that serves as a codified legal defense under Texas TRAIGA. It also maps cleanly to Colorado impact assessment requirements and EU AI Act risk management obligations.

2. Impact Assessment (Colorado / EU)

An impact assessment evaluates a specific AI deployment's potential to cause harm. It focuses on:

• Who is affected by the AI system
• What adverse outcomes are possible
• What controls mitigate those outcomes
• Whether the benefits outweigh the risks

When required: Colorado SB 24-205 mandates impact assessments for high-risk AI systems. The EU AI Act requires similar documentation for high-risk classifications. Texas does not require impact assessments specifically, but the NIST framework subsumes this analysis.

3. Heightened Scrutiny Assessment (Texas Government)

Under Texas SB 1964, government agencies must conduct heightened scrutiny assessments before deploying AI in critical decisions:

• Parole and probation recommendations
• Child welfare assessments
• Employment and licensing decisions
• Benefits determinations
• Law enforcement actions

Each assessment must evaluate accuracy, bias risk, transparency, human oversight, and disparate impact potential. This is required before deployment — not after.

When required: Texas government agencies only, for AI systems in critical decision categories.

4. Conformity Assessment (EU AI Act)

The EU AI Act requires conformity assessments for high-risk AI systems. These are more formal than impact assessments and may require third-party evaluation depending on the AI system's use case.

When required: EU-regulated high-risk AI systems. From August 2026 for most categories.

Which Assessment Type Should You Choose?

The Universal Answer

If you can only do one type of risk assessment, do a NIST AI RMF assessment. It covers the broadest regulatory surface, serves as a legal defense in Texas, provides the foundation for Colorado impact assessments, and maps to EU AI Act risk management requirements.

The key: document it, timestamp it, and make sure it predates any enforcement action. A risk assessment that exists only in your head isn't a risk assessment. It's a liability.