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AI Risk

Benchmark Inaccuracy (Benchmark saturation)

"Benchmark saturation refers to benchmarks reaching their evaluation ceiling. The tendency towards benchmark saturation has been demonstrated in various benchmarks [19]. When benchmarks reach or are close to saturation, they stop being effective measures for new models, as more nuanced capability gains might not be detected."

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AI Risk6. Socioeconomic and Environmental6.5 > Governance failure1 - Pre-deployment

Record summary

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Techniques0Attack 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
Intent3 - Other
Timing1 - Pre-deployment
CategoryModel Evaluations
SubcategoryBenchmark Inaccuracy (Benchmark saturation)

Related techniques

Attack methods connected to this risk.

No linked attack methods. No AI attack method is connected to this risk in the current data.

Suggested mitigations

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

Source

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