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ChatALL EU AI Act Compliance Profile

ai-shifu · Visit website

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

Your risk depends on how you use ChatALL

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

Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers

Applicable Articles

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

Who does what

ai-shifu (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

ChatALL aggregates responses from various AI chat models, which may lead to the dissemination of misinformation or biased outputs, but it does not pose a direct threat to fundamental rights or safety.

Similar Models

Frequently Asked Questions

What is ChatALL's EU AI Act risk classification?

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

What are my obligations if I deploy ChatALL?

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

What is ChatALL?

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

What are the EU AI Act deadlines for ChatALL?

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

Check ChatALL compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan