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AI Risk

Benchmarking (Post-deployment contamination)

"Once a model is deployed, it can be exposed to benchmark data provided by the users [95, 170]. The model may then be further trained by these user inputs containing benchmark data."

AI Risk6. Socioeconomic and Environmental6.5 > Governance failure2 - Post-deployment

Record summary

A quick snapshot of what this page covers.

Techniques2Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain6. Socioeconomic and EnvironmentalThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

Domain6. Socioeconomic and Environmental
Subdomain6.5 > Governance failure
Entity3 - Other
Intent2 - Unintentional
Timing2 - Post-deployment
CategoryModel Evaluations
SubcategoryBenchmarking (Post-deployment contamination)

Suggested mitigations

Defenses that may help with related attacks.

No propagated mitigations. No defense is available through the connected attack methods.

Source

Research source for this risk, when available.