INTEGRATING FUNCTIONAL AND INDIGENOUS PHILOSOPHICAL PERSPECTIVES FOR THE ADVANCEMENT OF ARTIFICIAL INTELLIGENCE
Artificial intelligence (AI) is increasingly influencing education, healthcare, agriculture, public administration, communication, and economic development. Although advances in AI are often assessed through speed, accuracy, automation, and problem-solving capacity, these measures do not by themselves establish whether a system is culturally appropriate, ethically responsible, or beneficial to the people affected by it. This paper examines how functional and indigenous philosophical perspectives can be integrated to support more inclusive and socially responsible AI development. It adopts a conceptual and analytical approach, drawing on contemporary textbooks and scholarly works on AI ethics, African philosophy of technology, philosophy of mind, and indigenous knowledge. Functional perspectives are considered in terms of the purposes, roles, performance, and practical consequences of AI systems, while indigenous philosophical perspectives are examined through community relationships, local knowledge, cultural identity, moral responsibility, and human dignity. The paper argues that integration should connect technical effectiveness with cultural relevance, ethical evaluation, participatory design, and human accountability. Five major challenges are identified: cultural and data bias; inadequate representation of indigenous languages and knowledge; appropriation of community knowledge; limited institutional capacity; and tensions between technological efficiency, cultural values, and individual rights. The paper recommends culturally responsive AI policies, indigenous-language development, interdisciplinary education and research, community participation and knowledge protection, and systematic ethical evaluation with human oversight. It concludes that functional and indigenous philosophical perspectives can complement one another by encouraging AI systems that are capable and reliable while remaining responsive to the social and cultural contexts in which they operate.
Authors
- Dr Rabiu Abdulkadir Kurfi2 Dr. Muhammad Ado Yakub1
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-07
- DOI
- https://doi.org/10.5281/zenodo.24027561
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00