Evaluate AI outputs against anthropological evidence and context
Human & Social Systems · Anthropology & Archaeology
ANTH-401AI in Anthropology
Examines how artificial intelligence can support anthropological research while preserving context, evidence, authorship, ethics, and disciplinary judgment.
Course outcomes
What students develop
Design transparent AI-assisted research workflows
Identify bias, hallucination, extraction, and representation risks
Produce a verified anthropological output using AI as a documented tool
Course content
Topics and questions
- AI and cultural interpretation
- Prompting, retrieval, and source verification
- Qualitative coding and pattern discovery
- Indigenous data sovereignty and community governance
- Authorship, disclosure, and reproducibility
Methods & resources
Tools and environments
- Large language model interfaces
- Reference and citation systems
- Qualitative data tools
- Versioned research notebooks
Evaluation
Demonstration of learning
- Workflow audit
- Critical case analysis
- Verified research project
Program relationships
Where this course fits
Core
Anthropology, Technology & Society
Studies culture, human difference, technology, institutions, material life, and social change through comparative and field-based inquiry.
Core
Anthropology, Technology & Complex Systems
Advanced research on culture, biology, technology, environment, institutions, and emergence across interacting human systems.
Core
AI in Anthropology
AI-assisted qualitative, archaeological, spatial, and comparative research with verification, context, ethics, and transparent workflow.
Course inquiry
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