EU AI Act Guide

EU AI Act transparency obligations

Transparency obligations depend on how people interact with or are affected by an AI system. Companies should identify where disclosure, explanation or user awareness is required in the workflow.

Run the diagnostic first

Operational information, not legal advice.

Obligation evidence map

EU AI Act Transparency Obligations

01

Obligation

Identify which obligation, control area or governance requirement is triggered.

02

Evidence

Define which document, record, process proof or artifact must support the claim.

03

Owner

Assign the team or role responsible for keeping the evidence current.

04

Review point

Set the point where evidence must be reviewed before implementation continues.

Strategic answer

Transparency obligations start with who interacts with or is affected by the AI system.

Transparency readiness depends on the user journey, the affected person, the system purpose and the kind of AI interaction involved. Companies should map where people need to know that AI is involved and what explanation or disclosure is needed.

Start with the EU AI Act Diagnostic, turn findings into an implementation plan, and see how the diagnostic works as a reference app on M13.

Exposure focus

What transparency should clarify

  • Whether people directly interact with an AI system.
  • Whether AI outputs influence decisions that affect people.
  • Whether disclosure, labeling or explanation is needed in the workflow.
  • Whether the company can prove where transparency controls are applied.

First action

What to do first

  1. 01Map user and affected-person touchpoints.
  2. 02Identify AI interaction and decision influence points.
  3. 03Define disclosure or explanation needs.
  4. 04Add transparency controls to the implementation backlog.

This page provides operational information for AI governance readiness. It is not legal advice.

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