AI-Driven Indigenous Knowledge Management Ensuring Ethical Accessibility

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Author(s): Usharani Bhimavarapu (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India)
Copyright: 2026
Pages: 24
Source title: Indigenous Knowledge Management in the Open Science Framework
Source Author(s)/Editor(s): Josiline Chigwada (University of South Africa, South Africa)and Patrick Ngulube (University of South Africa, South Africa)
DOI: 10.4018/979-8-3373-0204-1.ch002

Keywords: Indigenous Studies / Information Science Reference / Knowledge Management / Library & Information Science

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Abstract

Indigenous Knowledge (IK) systems are organized around cultural sovereignty, confidentiality, and moral leadership, while FAIR principles are intended to promote open information sharing. The relationship between sovereignty and accessibility is analyzed and modeled using a Bi-Stacked Artificial Neural Network technique. Using Particle Swarm Optimization, feature selection streamlined, preprocessed, and standardized data gathered from Indigenous governance models and FAIR compliance reports. In order to create knowledge-sharing models that adhere to Indigenous standards and are practical, Bi-Stacked ANN is trained in hierarchical representations and ethical AI frameworks improve the interpretability of models. Responsible data handling is promoted thus to ensure global access to information and Indigenous people's rights in balance. The results show AI-driven policy simulations that both promote digital inclusion and cultural sovereignty.

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AI-Driven Indigenous Knowledge Management Ensuring Ethical Accessibility

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