About the Journal
The OJ-AES is a peer-reviewed, open-access platform devoted to thoughtful research on artificial intelligence, ethics, and human flourishing. We publish interdisciplinary studies that assess fairness, transparency, accountability, and the spiritual implications of emerging technologies. Drawing insights from theology, philosophy, social science, law, and computer science, the journal encourages dialogue among scholars, practitioners, and policymakers worldwide, particularly voices from underrepresented regions. Our mission is to illuminate how AI reshapes culture, work, governance, and identity, offering biblically grounded, ethically rigorous guidance that advances public understanding and responsible innovation for the common good and global Gospel-informed transformation
Scope and Areas of Interest
OJ-AES publishes original research articles, theoretical essays, policy analyses, case studies, and reflective commentaries that address topics including, but not limited to:
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Ethics of AI: Moral frameworks, accountability, fairness, transparency, explainability, and human dignity in AI design and deployment
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Faith and Technology: Theological and spiritual reflections on AI and its implications for human identity, community, and vocation
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AI and Social Justice: Power asymmetries, surveillance, digital colonialism, labor displacement, and algorithmic bias
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Governance and Regulation: Ethical frameworks for AI policy, global regulatory cooperation, rights-based approaches to data and automation
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Education and AI: Pedagogical challenges and possibilities of AI integration in academic institutions, including critical digital literacy
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AI in Global Development: Examining how AI shapes or hinders human flourishing, especially in African, Latin American, and Asian contexts
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Philosophical and Epistemological Inquiry: Foundational questions about intelligence, consciousness, and the nature of wisdom in a machine age
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Future of Humanity: Ethical concerns related to transhumanism, synthetic life, digital immortality, and human–machine convergence
All submissions undergo a blind peer review and are evaluated not only for academic rigor but also for clarity, relevance, and constructive engagement with ethical dimensions.