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Kornia EU AI Act Compliance Profile

kornia · Visit website

Risk Classification
LIMITED RISK
Art. 50, 52
Limited Risk AI System
Model Info
Provider Info
Providerkornia
Categoryother
Visit website
Obligations
2apply
~12h effort
AI Literacy (Art. 4)
AI Disclosure (Art. 50)
$ npx complior scan

Your risk depends on how you use Kornia

Usage ContextRisk LevelObligations
Internal coding toolMINIMAL3 obligations (~12h)
Customer support botLIMITED7 obligations (~32h)
HR screening / hiringHIGH19 obligations (~120h)
Credit decisionsHIGH19 obligations (~120h)
Medical triageHIGH19 obligations (~120h)

Why this tool is classified as LIMITED RISK

🐍 Geometric Computer Vision Library for Spatial AI

Applicable Articles

Art. 4AI Literacy (Art. 4)
REQUIREDDEADLINE PASSED
Obligation under Art. 4 for Kornia deployers.
Art. 50AI Disclosure (Art. 50)
REQUIREDDEADLINE PASSED

Who does what

kornia (provider)Their job

  • Provider obligations being compiled

You (deployer)Your job

  • AI Literacy (Art. 4) (Art. 4)
  • AI Disclosure (Art. 50) (Art. 50)
See full obligation checklist

Risk Assessment Reasoning

Kornia is a computer vision library that provides tools for image processing and does not directly engage in high-risk applications such as biometric identification or critical infrastructure. However, its use in various applications could lead to limited risks depending on the context of deployment.

Similar Models

Frequently Asked Questions

What is Kornia's EU AI Act risk classification?

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Kornia is classified as LIMITED RISK under the EU AI Act.

What are my obligations if I deploy Kornia?

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As a Kornia deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.

What is Kornia?

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Kornia is a Unknown model. It has 0 downloads on HuggingFace.

What are the EU AI Act deadlines for Kornia?

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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.

Check Kornia compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan