Practical resources
AI governance explainers
Clear explanations of the records, responsibilities and decisions involved in accountable AI use.
By EUAIC editorial team · Updated
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Practical resources18 pages
EU AI Act Guide: Scope, Roles and Dates
Understand the EU AI Act starting points: scope, provider and deployer roles, risk review, transparency and current application dates.
Explore EU AI Act Guide: Scope, Roles and Dates Practical resourcesAI Governance Readiness Checklist
Use practical questions to review AI inventory, ownership, suppliers, evidence, oversight and change handling before a readiness discussion.
Explore AI Governance Readiness Checklist Practical resourcesHigh-Risk AI Explained
Understand the starting points for high-risk AI classification, the role of intended purpose and the evidence needed for a careful review.
Explore High-Risk AI Explained Practical resourcesProhibited AI Practices: Review Guide
Understand why prohibited-practice screening needs specific facts, qualified review and a clear escalation route before AI use proceeds.
Explore Prohibited AI Practices: Review Guide Practical resourcesAI Provider Responsibilities Explained
Prepare a provider review with clear system scope, technical evidence, quality responsibilities and the right conformity and release questions.
Explore AI Provider Responsibilities Explained Practical resourcesAI Deployer Responsibilities Explained
Review AI deployment with documented purpose, instructions, human oversight, operational ownership and change or incident escalation.
Explore AI Deployer Responsibilities Explained Practical resourcesGeneral-Purpose AI Governance
Distinguish model-provider responsibilities from application and deployment decisions, and organise the evidence around AI dependencies.
Explore General-Purpose AI Governance Practical resourcesAI Incident Escalation and Reporting
Prepare an AI incident process with clear intake, containment, evidence, accountable decisions and assessment of applicable reporting duties.
Explore AI Incident Escalation and Reporting Practical resourcesAI Data Governance Explained
Organise AI data questions around purpose, provenance, suitability, limitations, access and accountable review of the actual use.
Explore AI Data Governance Explained Practical resourcesAI Transparency Obligations Explained
Review AI interaction notices, synthetic-content marking and deployer disclosures with clear responsibilities and current official references.
Explore AI Transparency Obligations Explained Practical resourcesAI Literacy and Role-Based Learning
Plan practical AI learning around staff roles, approved uses, limitations, escalation and evidence of the support provided.
Explore AI Literacy and Role-Based Learning Practical resourcesAI Fundamental Rights Impact Assessment
Understand the scope of AI fundamental-rights impact assessment and organise affected-group, oversight and mitigation information for review.
Explore AI Fundamental Rights Impact Assessment Practical resourcesAI Conformity Assessment Explained
Understand why AI conformity procedures depend on the system, applicable product rules and evidence, and how to prepare a reviewable record.
Explore AI Conformity Assessment Explained Practical resourcesAI Quality Management Systems
Connect AI quality policies with actual responsibilities, design reviews, evidence, changes and corrective actions across the system lifecycle.
Explore AI Quality Management Systems Practical resourcesShadow AI Discovery: A Practical Guide
Plan proportionate shadow AI discovery using authorised sources, clear coverage, useful intake questions and an accountable review process.
Explore Shadow AI Discovery: A Practical Guide Practical resourcesAI Vendor Contract Review Questions
Prepare AI supplier contract discussions around information, permitted use, data handling, change notices, incidents and exit responsibilities.
Explore AI Vendor Contract Review Questions Practical resourcesPractical AI Policy Management
Turn AI policy into usable rules for approved tools, inputs, review, exceptions, ownership and changes across the organisation.
Explore Practical AI Policy Management Practical resourcesAI Governance Reporting for Management
Build decision-focused AI reporting that explains coverage, unresolved risks, evidence gaps, exceptions and accountable next actions.
Explore AI Governance Reporting for ManagementStart with the right questions
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