About

About This Project

Critical AI Literacy for Historians is an educational initiative designed to equip historians with the knowledge and skills to critically engage with artificial intelligence technologies in their research practice.

Pedagogical Framework

The project is grounded in the following pedagogical principles:

1. AI as Tool and Method: Understanding AI not only as a technical tool but also as a methodological approach that shapes research questions and interpretations
2. Digital Source Criticism: Applying rigorous critical evaluation to AI-generated content, datasets, and algorithmic outputs
3. Ethical Awareness: Fostering responsible use of AI that considers privacy, bias, representation, and power dynamics
4. Transparency and Reproducibility: Promoting open, documented, and replicable research practices
5. Disciplinary Rigor: Maintaining historical methods and critical thinking while integrating new technologies

Learning Approach

The exercises follow a structured progression:

• Beginner: Introduction to AI concepts and basic critical evaluation
• Intermediate: Applying AI tools to historical research with critical reflection
• Advanced: Designing AI-integrated research projects with methodological sophistication

Each exercise includes:

• Clear learning objectives
• Estimated time commitment
• Prerequisites
• Hands-on activities
• Critical reflection prompts
• Additional resources

FAIR and CARE Principles

This project adheres to:

• FAIR principles (Findable, Accessible, Interoperable, Reusable) for research data and educational materials
• CARE principles (Collective Benefit, Authority to Control, Responsibility, Ethics) for responsible data governance

Contributing

We welcome contributions from historians, educators, and researchers. Please see our contributing guidelines for more information.

License

• Educational materials: CC BY NC SA 4.0
• Code: AGPL 3.0

Contact

For questions or feedback, please open an issue or contact the maintainers.