Reimagining Indigenous Knowledge Systems in the Age of AI

Revitalizing Indigenous Knowledge Systems in the 21st Century 2026 Book chapter

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Authors: Piali Haldar, Dev Kumar Mandal
DOI: 10.4018/979-8-3373-7976-0.ch001
Cited by: 1
References: 19

Abstract

Indigenous Knowledge Systems (IKS) embody rich ecological intelligence, cultural memory, and relational worldviews, yet remain marginalised within contemporary AI-driven knowledge ecosystems. This study proposes a Mixed-Methods Techno–Cultural Convergence Model (TCCM) to examine how ancestral wisdom can be meaningfully integrated with artificial intelligence in the 21st century. Using Indigenous story-work and thematic analysis, followed by Partial Least Squares Structural Equation Modelling (PLS-SEM), the research identifies cultural identity, ethical AI trust, and IKS–AI compatibility as key drivers of AI adoption. The findings demonstrate that culturally aligned and ethically governed AI can support Indigenous knowledge revitalisation rather than epistemic erosion.

Fields of Study & Subjects

Indigenous Knowledge Systems and Agriculture Language and cultural evolution Indigenous Health Education and Rights

Publication details

Journal / source
Revitalizing Indigenous Knowledge Systems in the 21st Century
Publisher
IGI Global Scientific Publishing
Pages
1–22
Publication date
16 July 2026
Language
NG
Document type
Book chapter