Historians

Historians still do many tasks by hand, but AI tools are helping with data work. For example, national archives now use machine learning to tag and organize millions of records, making them searchable for visitors ^[1]. Scholars also use AI to read hard archives: recently researchers scanned burned Roman scrolls and applied AI imaging to “virtually” unroll and read them ^[2].

In museums, pilots show AI can draft content from big archives. MoMA used an AI model to scan hundreds of exhibition pages to auto-generate artist biographies, cutting research time ^{[3] [3]}. Some museums let visitors “interview” history: one Boston exhibit uses AI chatbots to answer questions using its collection ^[1], and holograms of Frederick Douglass use AI to respond from his writings ^[1].

AI use in history moves carefully. Many tools (like free chatbots or image software) exist, but they need staff time and ethics checks. Digitizing archives or projects (e.g. scan-and-translate rare texts) can be expensive ^{[2] [2]}, so only big museums and libraries can fund them.

Historians worry about accuracy: one curator said AI must be used “in an ethical manner” to tell history ^[1]. But some AI is cheap or free, so students and researchers may use it for quick tasks. Overall, AI adoption will likely grow slowly – it helps with heavy work, but human judgment and storytelling will still be essential ^{[4] [5]}.

Capturing the past isn’t easy to fully automate, and historians’ skills in analysis and care will remain valuable.