Folaranmi, Bukola Abosede
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REIMAGINING THE DIGITAL ORACLE: AN AFRICAN PHILOSOPHICAL AND THEOLOGICAL CRITIQUE OF ARTIFICIAL INTELLIGENCE Folaranmi, Bukola Abosede; Agoi, Moses Adeolu; Sain, Zohaib Hassan; Sain, Shazadi Hina; Aziz, Aulia Luqman
Srawung: Journal of Social Sciences and Humanities Vol. 4 Issue 4 (2025)
Publisher : jfpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56943/jssh.v4i4.869

Abstract

The emergence of artificial intelligence (AI) as a source of insight invites its characterization as a "digital oracle," a metaphor with particular resonance in Africa where traditions of divination are deeply embedded. This analogy, however, raises critical questions regarding the understanding, legitimacy, and governance of such systems. This paper employs a multidisciplinary approach, integrating contemporary AI ethics with African philosophy and religious perspectives, to analyze this metaphor. Using the prophetic figure central to Yoruba Ifá divination as a comparative framework, we contrast the communal, symbolically interpreted guidance of traditional oracles (Bascom, 1969) with AI's data-driven predictions, which often lack moral authority and community accountability. In response, we propose that the Ubuntu philosophy, grounded in relational humanity and moral duty, provides a vital corrective. The analysis is structured around four lenses: (1) epistemic opacity and interpretive authority; (2) relational personhood and communal responsibility; (3) spiritual and moral discernment; and (4) decolonial governance. We argue that AI should not be considered an autonomous philosophical oracle but can serve as a valuable decision-support tool when consciously embedded within robust systems of ethics, interpretation, and community. The paper concludes by advocating for AI development guided by Ubuntu ethics, the inclusion of religious thought, and formal decolonial governance. This approach seeks to transform AI into a context-aware tool that serves humanity, rather than an unaccountable digital predictor.
DECODING THE SACRED: ARTIFICIAL INTELLIGENCE AND THE SYMBOLIC KNOWLEDGE STRUCTURES OF AFRICAN TRADITIONAL RELIGION Agoi, Moses Adeolu; Folaranmi, Bukola Abosede; Sain, Zohaib Hassan; Aziz, Aulia Luqman; Sain, Shahzadi Hina
Srawung: Journal of Social Sciences and Humanities Vol. 4 Issue 4 (2025)
Publisher : jfpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56943/jssh.v4i4.870

Abstract

African Traditional Religion (ATR) is based on symbolic systems that reflect cosmology, ethics, spirituality and social order, which are represented through divination, rituals, proverbs, sacred objects as well as texts such as Yoruba Ifa verses. Scholars nowadays focus not only on their multivocal character but also on their epistemic and moral functions: symbols act as organs of knowledge no less than objects of cultural artefacts. AI tools, by symbolically representing that knowledge, through ontologies and explainable learning, provide means to decode, and maintain such sacred systems cultural sensitively. Indicatively, the article Preserving Indigenous Knowledge: Leveraging Digital Technology and Artificial Intelligence describes the way interactive platforms and AI-based applications preserve indigenous knowledge, without violating cultural guidelines and intellectual property rights. Using Classical Machine Learning and Deep Learning, Adinkra Symbol Recognition in Ghana was highly accurate in classifying Adinkra symbols. The results of the studies indicate that AI can improve preservation, access, and learning; however, it is unable to reproduce spiritual intention and group validation. Such ethical concerns as reductionism, digital colonialism, and cultural ownership are not new to the recent literature. This paper thus suggests an alternative approach in which AI would be used to supplement AIR custodianship to make sure that the knowledge is not stale, but dynamic, secure, and useful in the digital era.
Artificial Intelligence in Religious Education: A Comparative Ethical-Pedagogical Framework for Islam and Christianity in Nigeria AGOI, Moses Adeolu; FOLARANMI, Bukola Abosede; OSHINOWO, Oluwakemi Racheal; Maulana, Asep Suraya; Hermawan Adinugraha, Hendri
El-Suffah: Jurnal Studi Islam Vol. 3 No. 1 (2026): El-Suffah: Jurnal Studi Islam
Publisher : Yayasan Abdurrauf Cendekia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70742/suffah.v3i1.528

Abstract

This research examines the application of artificial intelligence (AI) as an innovative approach in Religious Education (RE), with a comparative focus on Christian and Islamic educational contexts. It aims to explore the potential benefits, challenges, and ethical implications of integrating AI into faith-based learning. The study employs a qualitative literature review by analyzing recent research findings and empirical studies related to AI use in religious education. Data were drawn from scholarly articles, case studies, and educational reports addressing AI tools such as chatbots, adaptive learning systems, virtual assistants, and curriculum analytics in both Christian and Islamic settings. The findings indicate that AI can enhance religious learning by supporting personalized instruction, increasing access to educational resources, and promoting interactive learning experiences. In Islamic Religious Education, AI applications have been effective in improving accessibility and contextual understanding while emphasizing the need to align technology with religious values. Similarly, AI innovations in Christian education—such as adaptive scripture delivery and digital text analysis—have shown promise in engaging digital-age learners. However, ethical and theological concerns remain, including risks of technological dependence, data security issues, and potential weakening of spiritual relationships. This study concludes that responsible, value-oriented AI integration is essential to preserve doctrinal integrity while improving educational outcomes. Future research should focus on ethical AI governance, comparative religious education models, and large-scale evaluations of learning effectiveness [Penelitian ini mengkaji penerapan kecerdasan buatan (AI) sebagai pendekatan inovatif dalam Pendidikan Agama (RE), dengan fokus perbandingan pada konteks pendidikan Kristen dan Islam. Tujuannya adalah untuk mengeksplorasi potensi manfaat, tantangan, dan implikasi etis dari integrasi AI dalam pembelajaran berbasis agama. Studi ini menggunakan tinjauan literatur kualitatif dengan menganalisis temuan penelitian terbaru dan studi empiris terkait penggunaan AI dalam pendidikan agama. Data diperoleh dari artikel ilmiah, studi kasus, dan laporan pendidikan yang membahas alat AI seperti chatbot, sistem pembelajaran adaptif, asisten virtual, dan analisis kurikulum di lingkungan Kristen dan Islam. Temuan menunjukkan bahwa AI dapat meningkatkan pembelajaran agama dengan mendukung instruksi yang dipersonalisasi, meningkatkan akses ke sumber daya pendidikan, dan mempromosikan pengalaman pembelajaran interaktif. Dalam Pendidikan Agama Islam, aplikasi AI telah efektif dalam meningkatkan aksesibilitas dan pemahaman kontekstual sambil menekankan pentingnya menyelaraskan teknologi dengan nilai-nilai agama. Demikian pula, inovasi AI dalam pendidikan Kristen—seperti pengiriman teks suci yang adaptif dan analisis teks digital—telah menunjukkan potensi dalam melibatkan pembelajar di era digital. Namun, kekhawatiran etis dan teologis tetap ada, termasuk risiko ketergantungan teknologi, masalah keamanan data, dan potensi melemahnya hubungan spiritual. Studi ini menyimpulkan bahwa integrasi kecerdasan buatan (AI) yang bertanggung jawab dan berorientasi nilai sangat penting untuk menjaga integritas doktrinal sambil meningkatkan hasil pendidikan. Penelitian di masa depan sebaiknya fokus pada tata kelola AI yang etis, model pendidikan agama yang komparatif, dan evaluasi skala besar mengenai efektivitas pembelajaran.]