Tiatemsu Longkumer
Biographic Data
| ID | 5878803 |
|---|---|
| NAME | Tiatemsu Longkumer |
| GIVEN NAMES | Tiatemsu |
| FAMILY NAME | Longkumer |
| SIGNATURE | LONGKUMER T |
| AFFILIATIONS | North-Eastern Hill University, Shillong, India |
| ORCID | 0000-0001-7903-6708 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Generative AI in Anthropology
This paper examines how Generative Artificial Intelligence (Gen AI) reshapes both extends and challenges traditional anthropological fieldwork and interpretive methods. Drawing on the concepts of knowledge telling and knowledge transforming, the paper shows how Gen AI enhances collaboration through simulated interviews, co-written field notes, and AI-mediated essay critiques. The lens of distributed cognition elucidates how AI systems can serve a…
Rethinking Ao Naga traditional religion
Understanding the Ao Naga traditional religion detached from its colonial and Christian theological imprints is still in a very nascent stage. Literature review reveals that there are copious writings on Ao traditional religion, seemingly indicating that it is one of the most studied aspects of Ao society. Even though Ao traditional religion is the most studied aspect of Ao society, it is also one of the most misunderstood aspects of the society.…
No prominent works on this page.
Rethinking Ao Naga traditional religion
Understanding the Ao Naga traditional religion detached from its colonial and Christian theological imprints is still in a very nascent stage. Literature review reveals that there are copious writings on Ao traditional religion, seemingly indicating that it is one of the most studied aspects of Ao society. Even though Ao traditional religion is the most studied aspect of Ao society, it is also one of the most misunderstood aspects of the society.…
Generative AI in Anthropology
This paper examines how Generative Artificial Intelligence (Gen AI) reshapes both extends and challenges traditional anthropological fieldwork and interpretive methods. Drawing on the concepts of knowledge telling and knowledge transforming, the paper shows how Gen AI enhances collaboration through simulated interviews, co-written field notes, and AI-mediated essay critiques. The lens of distributed cognition elucidates how AI systems can serve a…
Animism (1 work) · Anthropological Studies and Insights (1 work) · Anthropology (1 work) · Anthropology: Ethics, History, Culture (1 work) · Archaeology (1 work) · Cognition (1 work) · Colonialism (1 work) · Ethnography (1 work) · Field (mathematics (1 work) · Generative grammar (1 work)