Artificial intelligence (AI) is increasingly embedded in higher education, including research, transcription, analysis, and academic writing. These developments create distinctive opportunities and challenges for anthropology, a discipline grounded in long-term engagement, interpretive reflexivity, thick description, and ethical accountability to research participants. Unlike fields oriented primarily toward prediction or optimization, anthropology produces knowledge through situated relationships and contextual interpretation. The growing use of AI, particularly large language models (LLMs), therefore raises important questions about how these technologies can be integrated without undermining the discipline’s epistemic and ethical commitments. Using an integrative literature review with a structured search and screening process, the [...]
Submission Date: 3 Apr, 2026 Reviews Completed: 21 May, 2026Acceptance Date: 10 Jun, 2026 Publication Date: 30 Jun, 2026
