Lesson 1879 of 2116
AI and an AI-use disclosure template
Use AI to draft a disclosure block readers can trust, naming what AI did and didn't do in your work.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2AI and AI Disclosure Icon System: Visual Vocabulary Draft
- 3The premise
- 4AI and Disclosure Statements: Telling Users AI Was Used
Concept cluster
Terms to connect while reading
Section 1
The premise
Readers deserve to know where AI helped. A clear, reusable disclosure template earns trust without bogging down every doc.
What AI does well here
- Draft a short, neutral disclosure block.
- List specific tasks AI assisted with (drafting, summarizing, translating).
- List specific tasks AI did not do (analysis, decisions, fact-checking).
What AI cannot do
- Know your organization's required disclosure rules.
- Replace your judgment on what counts as 'meaningful' AI use.
- Verify your disclosure is true.
Key terms in this lesson
Section 2
AI and AI Disclosure Icon System: Visual Vocabulary Draft
Section 3
The premise
AI can draft a system of disclosure icons signaling levels of AI involvement (assisted, generated, edited) with semantic meaning per icon.
What AI does well here
- Produce a coherent vocabulary of 4-6 icons mapped to involvement levels
- Suggest accessibility text for each icon
What AI cannot do
- Run user research on icon comprehension across audiences
- Make the legal call about required disclosure thresholds
Section 4
AI and Disclosure Statements: Telling Users AI Was Used
Section 5
The premise
AI can take a workflow and draft disclosure language for end users about how AI was used and what humans verified.
What AI does well here
- Draft plain-language disclosures with specifics
- Suggest placement and prominence options
What AI cannot do
- Decide what level of disclosure your context requires
- Replace editorial review of the disclosure itself
Key terms in this lesson
End-of-lesson quiz
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