Critical AI Literacy for Historians

Welcome

This repository provides structured, hands-on exercises for historians to develop critical AI literacy, digital source criticism, and scholarly practice with large language models (LLMs).

Purpose

These materials aim to help learners:

  • Understand how AI functions as both a research tool and a method
  • Reflect on how it shapes historical interpretation and evidence
  • Apply rigorous digital source criticism to assess data provenance, representation, and bias
  • Practice responsible, transparent, and ethically informed use of AI in historical research

Principles

The exercises promote:

  • Reproducibility in research workflows
  • Privacy and ethical data handling
  • Copyright awareness and proper attribution
  • Sustainability through minimal computing approaches
  • Interdisciplinary collaboration and critical reflection

By engaging with these materials, historians will be better equipped to design transparent, meaningful projects that integrate AI into their research without compromising disciplinary rigor.

Getting Started

Explore the exercises to begin your journey in developing critical AI literacy for historical research:

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