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in collaboration with Microsoft

The ten principles

Principle 09 · Before you share · Disclosure

Transparency about the use of AI

People are told when AI played a part they would reasonably want to know about, and AI is never used to deceive.

Key question

Would they feel misled if they knew how this was made?

Benefit

Trust that survives the moment people learn how the work was made.

Context

An email a tool helped polish needs no label. People do deserve to know when they’re talking to a machine, when a realistic image or voice is synthetic, and when work presented as your expertise came mostly from a tool. Saying so keeps their trust, and being found out loses it.

Ask whether they would feel misled if they knew how the work was made. If they would, tell them.

Legal requirements

Since August 2, 2026, the EU AI Act’s transparency rules apply. People must be told when they are interacting with an AI system, unless it’s obvious, and deepfakes must be disclosed. A voluntary EU code of practice, which the Commission judged adequate in July 2026, sets out how providers can mark AI-generated content and how deployers can label deepfakes. Other countries have their own rules, and your clients may have contract terms on AI use. Where the law fits has the detail.

Authentic claims and likenesses

AI is very good at inventing plausible experience: an anecdote, a quote, a result. Your credibility depends on everything under your name being true. Use AI to tell your real stories well, and never to create a realistic likeness or voice of a real person without their consent.

Practices

  1. 01Tell people when they’re dealing with an AI assistant or agent.
  2. 02Label realistic synthetic images, audio and video, especially of real people or events.
  3. 03Never create a realistic likeness or voice of a real person without their consent.
  4. 04Follow your organization’s and your client’s rules on disclosing AI assistance in deliverables.
  5. 05Keep AI from inventing your experience: stories, quotes and numbers.

Prompt examples

A prompt before and after improvement, and the part a person does outside the prompt.

Marketing and images

Writing about your experience

Before

“Write a LinkedIn post about how I turned around a struggling team, with a moving anecdote.”

After

“Here are my notes on three real moments from last year. Help me turn one into a LinkedIn post in my voice. Use only events, numbers and quotes from my notes.”

Your part

Publish only what happened. If you add an AI-generated image of people, say so.

Why it works: AI helps you tell the story well, and your notes keep it true.

Customers

Introducing a chat assistant

Before

The greeting of a customer-facing chat assistant:

“Hi, I’m Sara! How can I help you today?”

After

The same assistant, introduced honestly:

“Hi, I’m the virtual assistant for [company], an AI. I can help with orders and returns, and I’ll connect you with a person whenever you ask.”

Your part

Make sure the handover to a person works, and test it the way customers would.

Why it works: People deserve to know they’re talking to a machine, and to reach a person when they need one.

Marketing and images

Creating campaign images

Before

“Create a photo of our customer [name] happily using our product.”

After

“Create an illustration of a person using our product in a bright kitchen: stylised, and clearly not a photo of a real person.”

Your part

Use real customers only with their written consent and real photos. Label synthetic images where your channel or the law requires it.

Why it works: A realistic AI image of a real customer would pass for a real photo, which makes it a deepfake. A stylised illustration can’t be mistaken for a photo.

Evidence

  • From August 2, 2026, the EU AI Act requires people to be informed when they interact with an AI system, and deployers to disclose deepfakes. [EU AI Act] [AI Omnibus]
  • The EU AI Act defines a deep fake as AI-generated or manipulated image, audio or video that resembles real people, places or events and would falsely appear authentic. [EU AI Act]
  • The Commission judged the voluntary code of practice on marking and labeling AI-generated content adequate for these duties in July 2026. [EU code of practice]

Case studies and scenarios

Team practice

Agree one simple rule for when your team mentions AI’s part: for example customer-facing chat, realistic images and client deliverables. Write it into your charter.

Team toolTeam AI charter

Sources

What each source establishes, and its limits. The practices and recommendations on this page are ours, and the facts come from the sources. See every source we use.

  1. Regulation (EU) 2024/1689 (Artificial Intelligence Act) European Union, Official Journal · June 13, 2024 · Law The binding text of the EU AI Act, including the definitions of AI literacy and deep fake (Article 3), banned practices such as emotion recognition at work (Article 5), human oversight that guards against automation bias (Article 14) and transparency duties (Article 50). Limits: Applies in stages and was amended in July 2026 (see the AI Omnibus). Which duties apply depends on the organization’s role and the system. The summaries on this site aren’t legal advice.
  2. Regulation (EU) 2026/1744 (AI Omnibus) European Union, Official Journal · Adopted July 8, 2026; in force July 27, 2026 · Law Amends the AI Act: keeps the AI literacy duty of providers and deployers without a guaranteed level, moves high-risk dates to December 2, 2027 (Annex III), and August 2, 2028 (Annex I), gives generative systems already on the market until December 2, 2026, to mark synthetic content, and adds bans on non-consensual intimate deepfakes and child sexual abuse material from December 2, 2026. Limits: An amending act. Read it with the consolidated text of the AI Act.
  3. Code of Practice on transparency of AI-generated content European Commission · Final version June 10, 2026; judged adequate July 8, 2026 · Voluntary code A voluntary code for marking AI-generated content (providers) and labeling deepfakes and some text (deployers), which the Commission judged adequate for Article 50 of the AI Act. Limits: Voluntary. Signing it isn’t conclusive evidence of compliance, and the legal duties apply either way.

Cite this page

Founderz (2026). Principle 9: Transparency about the use of AI. The RUAI Standard, 2026 edition. Developed by Founderz in collaboration with Microsoft. https://responsibleai.founderz.com/toolkit/principles/transparency

Licensed under CC BY 4.0: share and adapt with attribution.