AI Transparency and Disclosure

What Is AI Transparency and Disclosure?

The EU AI Act sets transparency duties for chatbots, AI-generated content and deep fakes. In this exercise you review a customer-facing chatbot that hides its AI identity, then work through a content queue: you tell the legal deep fake disclosure apart from your company's own labeling policy, and settle a gray-area request about AI-polished text.

What You'll Learn in AI Transparency and Disclosure

• Understand Article 50 transparency obligations for AI systems
• Identify when AI chatbots must disclose their AI nature to users
• Apply correct transparency labels to AI-generated and AI-assisted content
• Distinguish between AI-generated content, AI-assisted content, and synthetic media
• Apply the proportionality principle when AI involvement is ambiguous

AI Transparency and Disclosure — Training Steps

1. Article 50: Transparency Obligations

   Article 50 of the EU AI Act sets transparency duties that apply whatever an AI system's risk class: Chatbots must be designed so people know they are dealing with AI, unless it is obvious. That duty sits with the provider that builds them. Synthetic content generated by AI must be marked by the provider in a machine-readable way, so it can be detected as AI-made. Deep fakes must be disclosed by the deployer that publishes them: AI-made or altered images, audio or video that resemble real people, places, objects or events and could pass for authentic. Evident satire or art still discloses, in a way that does not spoil it. AI text published to inform the public must be disclosed too, unless a person reviewed it and someone holds editorial responsibility. These are legal requirements, not good practice, and breaching them can be fined.

2. Campaign Launch Review

   An email arrives from Sarah Mitchell, the Marketing Director. The campaign is launching Friday, and several deliverables need a compliance review before they go live.

3. Testing the Chatbot

   Alice follows Sarah's link into the chatbot preview. The CMS requires her to sign in first - then she sees exactly how a first-time visitor experiences the widget.

4. Fixing the Chatbot Disclosure

   The chatbot is presenting itself as a human without any AI disclosure. Alice needs to open the chatbot configuration page in the CMS and enable the mandatory AI disclosure notice.

5. Content Review Queue

   With the chatbot disclosure fixed, Alice moves on to the content labeling queue. Five marketing assets need labels before they can be published. Cascade's publishing policy labels every asset by how much AI went into it, which goes further than the law. The one label the AI Act itself demands in this queue is the deep fake disclosure.

6. Labeling the Content

   Alice works through each content item, selecting the correct AI transparency label based on how the content was created. The progress bar tracks how many items have been labeled.

7. Knowledge Check: Audio Enhancement

   Before moving on, a question about where the law ends and company policy begins.

8. The Gray Area

   An email arrives from Tom Becker, a colleague, asking whether a press release needs an AI label. He wrote all the substance himself but ran the draft through an AI tool to 'polish the grammar and adjust the tone.' Alice has to decide where this falls on the disclosure spectrum.

9. Reply to Tom

   Tom did the writing himself, but he let AI reshape sentence structures and word choices to change the tone. The AI Act asks for no label on text a person wrote and publishes under the company's editorial responsibility. Cascade's own policy does label AI help of this kind, so Alice draws that line for him clearly.

10. Wrap-Up: Transparency is the Default

    Alice has completed the compliance review and sent her recommendation to Tom. Here are the key takeaways from Article 50: Chatbot disclosure A chatbot must be built so people know they are talking to AI, unless that is obvious. The duty sits with the provider, and a human name and persona with no disclosure breaks it. What the Act requires, and what policy adds The Act asks providers to mark synthetic output machine-readably, and deployers to disclose deep fakes and AI text published to inform the public unless a person holds editorial responsibility. Cascade's policy labels more than that, by how much AI went into each asset. Deep fakes AI-made or altered media that resembles a real person, place or event must be disclosed by the organisation that publishes it. Evident satire or art still discloses, in a way that does not spoil it. When in doubt, disclose The cost of unnecessary disclosure is near zero - a small label or notice. The cost of missing a required disclosure is a regulatory violation. When the level of AI involvement is ambiguous, always err on the side of transparency.