rubert-base-cased EU AI Act Compliance Profile
DeepPavlov
Your risk depends on how you use rubert-base-cased
| Usage Context | Risk Level | Obligations |
|---|---|---|
| Internal coding tool | MINIMAL | 3 obligations (~12h) |
| Customer support bot | LIMITED | 7 obligations (~32h) |
| HR screening / hiring | HIGH | 19 obligations (~120h) |
| Credit decisions | HIGH | 19 obligations (~120h) |
| Medical triage | HIGH | 19 obligations (~120h) |
Why this tool is classified as LIMITED RISK
rubert-base-cased is a feature extraction model by DeepPavlov. Built with transformers. Supports ru. 267.2K downloads on HuggingFace.
Applicable Articles
Who does what
DeepPavlov (provider)Their job
- Provider obligations being compiled
You (deployer)Your job
- •AI Literacy (Art. 4) (Art. 4)
- •AI Disclosure (Art. 50) (Art. 50)
Risk Assessment Reasoning
The rubert-base-cased model is primarily a feature extraction tool and does not make autonomous decisions or have direct implications for safety or fundamental rights, placing it in the limited risk category.
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Frequently Asked Questions
What is rubert-base-cased's EU AI Act risk classification?
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rubert-base-cased is classified as LIMITED RISK under the EU AI Act.
What are my obligations if I deploy rubert-base-cased?
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As a rubert-base-cased deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is rubert-base-cased?
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rubert-base-cased is a Feature Extraction model by DeepPavlov. It has 267.2K downloads on HuggingFace.
What are the EU AI Act deadlines for rubert-base-cased?
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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.
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