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AI Risk

Poor model accuracy

"Poor model accuracy occurs when a model’s performance is insufficient to the task it was designed for. Low accuracy might occur if the model is not correctly engineered, or there are changes to the model’s expected inputs."

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AI Risk7. AI System Safety, Failures, & Limitations7.3 > Lack of capability or robustness2 - Post-deployment

Record summary

A quick snapshot of what this page covers.

Techniques1Attack methods connected to this risk.
Mitigations5Defenses that may help with related attacks.
Domain7. AI System Safety, Failures, & LimitationsThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

Domain7. AI System Safety, Failures, & Limitations
Subdomain7.3 > Lack of capability or robustness
Entity1 - Human
Intent2 - Unintentional
Timing2 - Post-deployment
CategoryInference risks (Accuracy)
SubcategoryPoor model accuracy

Related techniques

Attack methods connected to this risk.

Suggested mitigations

Defenses that may help with related attacks.

Code Signing

Deployment
LifecycleDeploymentCategoryTechnical - Cyber

Vulnerability Scanning

ML Model EngineeringData Preparation
LifecycleML Model Engineering + 1 moreCategoryTechnical - Cyber

User Training

Business and Data UnderstandingData Preparation+4 more
LifecycleBusiness and Data Understanding + 5 moreCategoryPolicy

AI Bill of Materials

Business and Data UnderstandingData Preparation+1 more
LifecycleBusiness and Data Understanding + 2 moreCategoryPolicy

Source

Research source for this risk, when available.