Xgboost EU AI Act Compliance Profile
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Your risk depends on how you use Xgboost
| 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 MINIMAL
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Applicable Articles
Who does what
dmlc (provider)Their job
- Provider obligations being compiled
Risk Assessment Reasoning
Xgboost is a machine learning library that provides tools for implementing gradient boosting algorithms but does not itself constitute an AI system as defined by the EU AI Act. It is a framework that can be used to build AI applications rather than an AI application itself.
Similar Models
Frequently Asked Questions
What is Xgboost's EU AI Act risk classification?
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Xgboost is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy Xgboost?
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As a Xgboost deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is Xgboost?
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Xgboost is a Unknown model. It has 0 downloads on HuggingFace.
What are the EU AI Act deadlines for Xgboost?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check Xgboost compliance in your codebase
One command to scan. Open-source CLI.