Telling people when AI is involved
Decide when and how to disclose AI use to customers, colleagues and the public, clearly and honestly
A taste of a lesson
Do we really need to tell customers our support chat is an AI? It works well.
Yes, and working well makes it more important, not less. If customers assume they are talking to a person and later find out otherwise, trust drops, and in several places transparency rules require telling people they are interacting with AI. Disclosure also sets expectations and gives customers a choice. Keep it light and useful: 'You are chatting with our AI assistant. Type agent to reach a person.' Put it at the start, not in the terms. How would you word it in your brand's voice?
Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.
What you will be able to do
- Explain why AI disclosure matters for trust, consent and accountability
- Decide when disclosure is needed using the reasonable recipient test
- Write clear disclosure wording for chatbots, synthetic media and automated decisions
- Draft a simple disclosure policy for your team
Lesson plan
- 1 Why disclosure matters Understand the purposes behind telling people about AI use. Start
- 2 The reasonable recipient test Decide when disclosure is needed. Start
- 3 Chatbots and automated decisions Disclose conversational AI and AI assisted decisions clearly. Start
- 4 Synthetic media and drafting Label images and content appropriately. Start
- 5 Rules and your team policy Check legal trends and write a short disclosure policy. Start
Try asking
About this tutor
For managers, communicators, customer service leads, marketers and professionals who need a sound approach to disclosing AI use. You learn why disclosure matters for trust, consent and accountability, when people reasonably expect to be told, and the difference between disclosing an AI chatbot, AI generated content, AI assisted decisions and AI assisted drafting. You look at broad legal trends towards transparency duties and at platform rules, then practise writing clear disclosure wording for real situations: chat interfaces, marketing images, reports, automated decisions and internal documents. You finish with a simple disclosure policy for your team.
Reviews
4.3
3 ratingsSample
- Lena F.Sample
Helpful balance between disclosing and over labelling. Our marketing team now has clear rules for AI images.
- Imran H.Sample
Practical wording examples. I wanted more on internal documents, but the policy template covered most of it.
- Corinne A.Sample
The reasonable recipient test is simple and works in every meeting. We rewrote our chatbot greeting and the complaints about 'tricking' customers stopped.
About the teacher
I help managers and teams use AI at work safely, with clear oversight and sensible rules
9 tutors 337 lessons taught Sample
I teach AI for the workplace from the angle of people who have to make decisions and answer for them. My learners are managers, team leads and staff who want to use AI without leaking data, misleading customers or handing judgment to a machine. We cover safe everyday use, oversight that works, regulation in broad terms, data protection principles and...
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