Critical AI literacy for historians as “uncertainty management”: OER exercises that operationalize audit trails, evidence discipline, and source criticism

Critical AI literacy for historians as “uncertainty management”: OER exercises that operationalize audit trails, evidence discipline, and source criticism

Researching with AI. Between opportunity and imposition, Bern, Switzerland

Contributed Lightning Talk

Contributed Lightning Talk at Researching with AI. Between opportunity and imposition, Bern, Switzerland

Published

11 February 2026

The presentation introduces an open set of structured, practice-oriented OER exercises for historians that transform common uncertainties around generative AI—such as evidential opacity, citation instability, and the epistemological status of outputs—into explicit workflow checks. The exercises operationalize audit trails, evidence discipline, and source criticism across research design, literature review, prompt engineering as method, writing support, public-history remediations, and citation practice, with an emphasis on reproducibility and documentation.

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Citation

BibTeX citation:

@inproceedings{2026,
  author = {},
  title = {Critical {AI} Literacy for Historians as “Uncertainty
    Management”: {OER} Exercises That Operationalize Audit Trails,
    Evidence Discipline, and Source Criticism},
  booktitle = {Researching with AI. Between opportunity and imposition},
  date = {2026-02-11},
  url = {https://moritzmaehr.ch/talks/Maehr2026CriticalAILiteracy.html},
  langid = {en}
}

For attribution, please cite this work as:

“Critical AI Literacy for Historians as ‘Uncertainty Management’: OER Exercises That Operationalize Audit Trails, Evidence Discipline, and Source Criticism.” 2026. In Researching with AI. Between Opportunity and Imposition. https://moritzmaehr.ch/talks/Maehr2026CriticalAILiteracy.html.

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