Archaeology

If you work in Archaeology, the AI-assisted tasks most relevant to your work are analysing visual and material evidence, working with spatial and geographic data, handling quantitative and tabular records, and teaching preparation. The discipline's reliance on non-textual evidence and structured data gives it a distinctive relationship with AI tools.

Suggested reading order

1. Start here: Images, Objects & Visual Evidence — working with photographs of finds, sites, and material culture.

2. Spatial & Geographic Analysis — mapping, GIS, site analysis, and geographic reasoning.

3. Quantitative & Tabular Data — excavation records, catalogues, survey data, and statistical analysis.

4. Teaching & Assessment — preparing seminars, fieldwork briefings, and assessments.

See also: Archives & Manuscripts if you work with documentary sources, and Translation & Language if you work with inscriptions or texts in ancient languages.

Further reading

• Shawn Graham, Practical Necromancy for Beginners (Digital Press at the University of North Dakota, 2025) --- AI for archaeology and history. Good for framing, caution, and classroom discussion.

• Transkribus --- Handwritten text recognition for manuscripts and archival material. transkribus.org

• Ithaca and Aeneas (Google DeepMind) --- Inscription restoration and dating for Greek and Latin epigraphy. ithaca.deepmind.com