Parks marketing generates draft event images with a generative image model under brand guidelines. What GenAI literacy applies?
Select an answer to reveal the explanation.
Short Explanation
Draft event art from an image model is fine when brand rules and humans stay in the loop. You're drafting new images before approval, so drafting after approval gets the timing wrong, drafting without approval skips the human check, and automating approval isn't human approval. Parks still approve what goes public.
Full Explanation
Generative image AI literacy for parks marketing means using image models to draft civic event visuals within brand and policy guidelines, then obtaining human approval before publication. Draft images can speed campaign production, but municipal communications still must respect trademarks, accessibility contrast, depiction of identifiable people, and truthful representation of programs. Human review is the control that keeps generative imagery inside acceptable civic practice.
Generative image AI that drafts civic marketing visuals within brand and policy guidelines after human approval reverses the tested workflow, because this scenario requires drafting before human approval, not drafting after approval. Generative image AI that drafts civic marketing visuals within brand and policy guidelines without human approval omits the required control, because this scenario requires human approval before publication, not generation without review. Generative image AI that drafts civic marketing visuals within brand and policy guidelines automating human approval misstates the control, because this scenario requires human approval itself, not automation of the approval step.
Exam caveat: photorealistic generations can imply events, attendance, or facilities that do not exist—marketing still owes residents truthful representation. Operational check: apply brand kits and prohibited-content lists, review for accessibility and misleading content, and archive approval records with the final asset.
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