Reimagining Indigenous Knowledge Systems in the Age of AI

Record type:

paper

Creator:

PiaDev

Publisher:

IGI

Host:

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.

Visit

doi.org

Reimagining STEM Education in South Africa: Leveraging Indigenous Knowledge Systems Through the M-Know Model for Curriculum Enhancement

This conceptual paper investigates the integration of indigenous knowledge systems (IKS) into South

Indigenous Knowledge Systems Integration into AI Development in Ghanaian Context

The integration of Indigenous Knowledge Systems (IKS) into Artificial Intelligence (AI) dev

Indigenous Knowledge Systems Integration into AI Development in West Africa

Indigenous Knowledge Systems (IKS) in West Africa are rich repositories of traditional wisd

Indigenous Knowledge Systems and AI Development in Ghana: A Synthesis Approach

Indigenous Knowledge Systems (IKS) in Ghana encompass a rich tapestry of traditional practi

Indigenous Knowledge Systems Integration into AI Development in Gabon West Africa

Indigenous Knowledge Systems (IKS) in Gabon West Africa are rich repositories of traditiona

Indigenizing AI Development: Integrating Indigenous Knowledge Systems in West African Contexts

Indigenous knowledge systems (IKS) in West Africa have unique contributions to AI developme