embedding EU AI Act Compliance Profile
pyannote
Your risk depends on how you use embedding
| 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
embedding is an AI model by pyannote. Built with pyannote-audio. Licensed under mit. 318K downloads on HuggingFace.
Applicable Articles
Who does what
pyannote (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 embedding AI tool is primarily used for feature extraction and representation learning, which poses limited risks to fundamental rights and safety. However, it may still require compliance with certain obligations due to its potential use in sensitive applications.
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Frequently Asked Questions
What is embedding's EU AI Act risk classification?
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embedding is classified as LIMITED RISK under the EU AI Act.
What are my obligations if I deploy embedding?
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As a embedding deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is embedding?
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embedding is a Unknown model by pyannote. It has 318K downloads on HuggingFace. Licensed under mit.
What are the EU AI Act deadlines for embedding?
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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.
Check embedding compliance in your codebase
One command to scan. Open-source CLI.