How does this skill help with risk classification?

It uses a structured decision tree based on Art. 5, Art. 6, and Annex III to categorize AI systems as Prohibited, High-Risk, Limited, or Minimal risk tiers.

Can it assist with technical documentation?

Absolutely, it provides templates and checklists for Art. 11 technical documentation and Art. 17 Quality Management Systems required for high-risk AI.

Does it support GPAI model requirements?

Yes, it includes specialized workflows for General-Purpose AI model providers, covering technical documentation, copyright compliance, and systemic risk mitigation.

Does it cover bias and fairness testing?

Yes, it provides patterns for bias detection and fairness testing per Art. 10 data governance requirements for high-risk AI systems.

Is it updated for the latest 2024/1689 regulation?

Yes, it is specifically designed around the final text of Regulation (EU) 2024/1689, covering all articles from prohibited practices to post-market monitoring.

EU AI Act Compliance Specialist

Name: EU AI Act Compliance Specialist
Author: borghei

byborghei

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101

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Ciencia de Datos y ML

Navigates EU AI Act requirements by classifying systems, mapping legal obligations, and guiding organizations through conformity assessments.

This skill acts as a specialized regulatory consultant for the EU Artificial Intelligence Act (Regulation 2024/1689), helping developers and organizations navigate the complex lifecycle of AI compliance. It provides structured workflows for classifying AI systems into risk tiers, identifying provider and deployer obligations, and managing technical documentation for high-risk systems or GPAI models. By integrating legal requirements with practical implementation patterns, it ensures AI governance programs align with enforcement deadlines, address data governance standards, and avoid prohibited practices.

Características Principales

01101 GitHub stars

02Mapping of specific obligations for providers and deployers

03Internal and third-party conformity assessment guidance

04GPAI model compliance and systemic risk assessment workflows

05Automated risk classification based on Art. 5, 6, and Annex III

06Bias detection and fairness testing patterns for data governance

Casos de Uso

01Classifying a new AI product to determine high-risk status and Annex III applicability

02Conducting compliance gap analysis against upcoming EU AI Act enforcement deadlines

03Generating technical documentation and QMS outlines for high-risk AI certification

Características Principales

01101 GitHub stars

02Mapping of specific obligations for providers and deployers

03Internal and third-party conformity assessment guidance

04GPAI model compliance and systemic risk assessment workflows

05Automated risk classification based on Art. 5, 6, and Annex III

06Bias detection and fairness testing patterns for data governance

Casos de Uso

01Classifying a new AI product to determine high-risk status and Annex III applicability

02Conducting compliance gap analysis against upcoming EU AI Act enforcement deadlines

03Generating technical documentation and QMS outlines for high-risk AI certification