History & AI: A Resource Guide

Artificial intelligence is reshaping how we research, teach, and communicate about the past. This site collects practical resources, tools, and strategies for historians, educators, and students who want to engage with AI thoughtfully and effectively.

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Why AI Matters for History

• Research acceleration: Large language models can summarize archival documents, translate sources, and identify patterns across large corpora.
• Classroom innovation: AI tools offer new ways to design assignments, scaffold student writing, and encourage critical thinking about sources.
• Public history: Generative AI can help museums, archives, and digital humanities projects reach wider audiences.
• Critical questions: Historians bring essential skills—source criticism, contextual reasoning, attention to bias—that are urgently needed in conversations about AI.

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Quick Navigation

Section	Description
AI Tools for Historians	Curated tools for research, teaching, and digital humanities
Teaching with AI	Assignment ideas, policies, and classroom strategies
Prompt Engineering for History	How to write effective prompts for historical work
Ethics & Critical Perspectives	Bias, accuracy, citation, and responsible use
Readings & Further Resources	Articles, books, and projects at the intersection of history and AI

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Getting Started

If you are new to AI tools, start here:

1. Experiment with a chatbot. Try Claude, ChatGPT, or Gemini. Ask it to summarize a historical event and evaluate the response for accuracy and nuance.
2. Read a critical perspective. See the Ethics & Critical Perspectives page for scholarship on AI limitations and biases in historical contexts.
3. Try a classroom exercise. The Teaching with AI page includes ready-to-use assignment frameworks.
4. Learn prompt engineering. Small changes in how you phrase a request can dramatically improve AI output. See Prompt Engineering for History.

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This site is intended as a living resource. Contributions and suggestions are welcome via GitHub.