EU AI Act
Last updated: Dec 15, 2025 · 7 min
Article 50 transparency obligations (plain language)
What to disclose, where to disclose it, and what evidence to keep that you did.
Orientation only. Not legal advice.
Who this matters for
Chatbots, conversational agents, and content-generation teams.
What you’ll leave with
Practical UI/UX disclosure guidance and an evidence checklist for audits.
Fast checklist
- Add clear “you are interacting with AI” disclosures in the interface and onboarding.
- Label AI-generated or manipulated content where required (e.g., deepfake-style outputs).
- Provide a user-facing path to learn more (limitations, purpose, contact).
- Retain proof: screenshots, UI tests, and logs showing disclosures were presented.
Evidence you keep
- Disclosure copy and placement (screenshots, translations if applicable)
- Release note entries for disclosure changes
- Telemetry showing disclosures were displayed (event logs)
- Support/complaint handling records for transparency issues
Common pitfalls
- Disclosures only in a terms page (not in the flow where it matters)
- No record that the disclosure was shown to the user
- Model/version changes that silently invalidate copy or risk assumptions
Next step: artifacts
Compliance work gets funded when the output is forwardable. Use the starter templates to convert obligations into controls and evidence.
Govern · Measure · Prove
Need a defensible evidence path?
KLA Digital turns obligations into controls, controls into measurements, and measurements into exportable evidence.
