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Blurr EU AI Act Compliance Profile

Ayush0Chaudhary · Visit website

Risk Classification
LIMITED RISK
Art. 50, 52
Limited Risk AI System
Model Info
Provider Info
ProviderAyush0Chaudhary
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 Blurr

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

This app can now use Android, just like a human.

Applicable Articles

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

Who does what

Ayush0Chaudhary (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

The tool Blurr appears to assist users in interacting with Android devices, which may involve processing personal data but does not pose significant risks to fundamental rights or safety. Its classification as an AI tool for accessibility suggests a limited risk level under the EU AI Act.

Similar Models

Frequently Asked Questions

What is Blurr's EU AI Act risk classification?

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

What are my obligations if I deploy Blurr?

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

What is Blurr?

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

What are the EU AI Act deadlines for Blurr?

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

Check Blurr compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan