Governance FAQs

Question 1

How does Governance support AI auditability and transparency?

Accepted Answer

It generates tamper-evident audit records for AI operations, satisfying Article 12 logging requirements, and provides explainability for governance decisions with counterfactual hints as per Article 13.

Question 2

How does Governance assist with AI system risk assessment?

Accepted Answer

It enables the classification of AI system risk levels into Unacceptable, High, Limited, or Minimal categories, providing a crucial first step for meeting the obligations set forth by the EU AI Act.

Question 3

Which specific EU AI Act requirements does Governance address?

Accepted Answer

Governance helps with AI system risk classification (Article 6), compliance assessment against technical documentation, transparency, human oversight, and accuracy (Articles 9-15), generating conformity assessment checklists (Annex IV), creating audit records (Article 12), and explaining governance decisions (Article 13).

Question 4

What is Governance (governance-mcp) and its primary purpose?

Accepted Answer

Governance is an MCP server providing essential tools for AI systems to achieve and maintain compliance with the EU AI Act. Its primary purpose is to simplify AI risk classification, audit record keeping, and decision explainability for regulatory adherence.

Question 5

What platforms are compatible with Governance?

Accepted Answer

Governance is built on the Model Context Protocol (MCP) and integrates with any MCP-compatible agent, IDE, or LLM client, including popular tools like Claude Desktop and Cursor.

Governance

Governance

Key Features

Use Cases

Key Features

Use Cases