Abstract Panel


Authors Information
SequenceTypeName TitleFirst NameLast NameDepartmentInstitute / Affiliation
1 Author Ms. MERCY KIPGEN ANTHROPOLOGY University of Delhi
Abstract Information
TrackID
:
IUAES23_ABS_M5235
Abstract Theme
:
Visual Anthropology- Beyond Embodiment
Abstract Title
:
Contextualization on Probable AI Culture Among the Kuki of Northeast India
Short Abstract
:
As an anthropologist, it is in our deepest indentation to seek knowledge and discourse that can transcend the world we live in and holistically determine each niche with utmost consideration towards mankind and the field itself. The paper is an attempt to catalyze AI concerning the Kuki people of Northeast India. It endeavors to understand the methods, see-through the AI culture, and the wisdom of the indigenous people to enhance AI, and generalize their perspectives on AI.
Long Abstract
:

The United Nations Sustainable Development Goals (UN SDGs) say that artificial intelligence (AI) as a tool has the potential to help us solve humanitarian and environmental challenges across the globe. Niti Ayog concludes a national program for R&D, where the applications for AI shall be established and directed toward national development. Therefore, the following research makes an anthropologically-focused endeavor to comprehend the probable AI culture among the Kuki in India. As tribal people are marginalized and constantly at risk of discrimination, particularly in light of the digital divide, the challenges vary greatly and indirectly counter the SDGs and the country's vision. Because of how it interacts with humans, the anthropology of AI at the cutting edge of digitally inferred technologies will undoubtedly make a significant contribution. The study takes on Sarah Pink's processual notion of anticipatory trust. The idea of trust eventually brings us to understand the underlying ethic of a machine. Hopefully, it can be the source of reliance and acceptance of AI hereafter. The literature studied found scarce mention of  AI in the study of tribal people. Therefore, it strives to put an indigenous perspective, wisdom, and challenges concerning AI. The paper employs interview methods, secondary literature, virtual ethnography, and participant observation to gather the needed data. Nevertheless, methods in studying AI need resonant deconstructions, in regards to what the researcher is studying. The report concludes that artificial intelligence can potentially reshape the world of tribal people. However, to promote equality, inclusivity, and sustainable visions in tribal societies, AI will need to incorporate indigenous knowledge. Further, it calls for bridging the digital divide or devising an alternative to benefit the tribal people. 

Abstract Keywords
:
Kuki, Artificial Intelligence, Trust, Anthropology of AI, Sustainable Development