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Published (Version of record)CC BY V4.0, Open Access
Published (Version of record)CC BY V4.0, Open
Journal article
Cognitive imperialism in artificial intelligence: counteracting bias with indigenous epistemologies
AI & Society, Vol.40(4), pp.3045-3061
04/2025
Appears in Recent Faculty of Education Publications
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Abstract
This paper presents a novel methodology for integrating indigenous knowledge systems into AI development to counter cognitive imperialism and foster inclusivity. By critiquing the dominance of Western epistemologies and highlighting the risks of bias, the authors argue for incorporating diverse epistemologies. The proposed framework outlines a participatory approach that includes indigenous perspectives, ensuring AI benefits all. The methodology draws from AI ethics, indigenous studies, and postcolonial theory, emphasizing co-creation with indigenous communities, ethical protocols for indigenous data governance, and adaptation of AI algorithms. Case studies in natural language processing, content moderation, and healthcare demonstrate the methodology’s effectiveness and importance. By offering a concrete methodology for decolonizing AI, this paper contributes significantly to AI ethics and social justice, providing a roadmap for equitable, culturally respectful AI.
Details
- Title
- Cognitive imperialism in artificial intelligence: counteracting bias with indigenous epistemologies
- Creators
- Yaw Ofosu-Asare - Southern Cross University
- Publication Details
- AI & Society, Vol.40(4), pp.3045-3061
- Publisher
- Springer UK; NEW YORK
- Number of pages
- 17
- Grant note
Open Access funding enabled and organized by CAUL and its Member Institutions.
- Identifiers
- 991013223309902368
- Copyright
- © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License. Open Access funding enabled and organized by CAUL and its Member Institutions.
- Academic Unit
- Faculty of Education
- Language
- English
- Resource Type
- Journal article