Exhibits
Brainstorm themes, draft labels, organize supplied research and propose visual concepts.
Learn where AI can improve museum work, where risk enters, and why human judgment remains essential in a public-trust institution.
Artificial intelligence can help museums work faster, communicate more clearly and create new ways for people to engage with history. It can also produce convincing errors.
This module introduces where AI can help, where controls are needed, and why museum employees remain responsible for the accuracy and integrity of public-facing work.
includes/config.php.AI can support exhibit concept development, first-draft interpretive text, educational materials, newsletters, web content, social media, accessibility adaptation, internal administration and research organization.
The important distinction is between assistance and authority. AI may help produce material; it does not automatically make that material accurate, appropriate or publishable.
Brainstorm themes, draft labels, organize supplied research and propose visual concepts.
Draft newsletters, website copy, public-programming text and social content.
Adapt verified material for different audiences, reading levels and learning activities.
Summarize approved material, outline meetings and help structure routine internal work.
Generative AI can produce language and images that look authoritative without having verified the underlying facts. It may combine sources, omit context, invent details or reproduce errors found online.
Museums have a special problem: the public often treats museum content as authoritative. An error published by a trusted institution can be repeated elsewhere and become harder to distinguish from fact.
Classify each museum task. This is not a memory quiz: think about the task, information involved and human responsibility.
You are helping prepare a small temporary exhibit. A colleague uses an approved AI assistant to turn verified research notes into a 120-word exhibit panel. The draft reads well and includes a precise date you do not remember seeing in the source notes.
What do you do now?
Answer all three questions. You can review feedback before completing the module.
AI can improve museum productivity, but generated output remains a working product until an appropriate human has reviewed it.
AI can assist. It does not inherit the museum’s authority.
Plausible is not proven. Important claims require verification.
Public trust raises the stakes. Errors published by trusted institutions can spread and compound.