Integrating Sufi Educational Principles into AI Ethics: A New Paradigm for Human-Centered Artificial Intelligence – A. Sigoul
 

Abstract

This study explores the potential of Sufi educational principles to address ethical challenges in artificial intelligence (AI). As AI systems increasingly influence human lives, there is a growing imperative to embed robust ethical frameworks within their design. Drawing upon classical Sufi teachings and contemporary AI ethics literature, this paper proposes that key Sufi principles - self-purification (tazkiyah), wisdom (hikmah), and moral responsibility (amanah) - offer novel approaches to mitigating bias, enhancing empathy, and ensuring accountability in AI systems. Through a qualitative, interdisciplinary analysis, we develop a conceptual framework for integrating these spiritual ethics into AI training methodologies, thus opening a new field of inquiry at the intersection of technology, philosophy, and spirituality.

Keywords: Sufi ethics, human-centered AI, self-purification, moral responsibility, AI bias, ethical AI, spiritual education, interdisciplinary research

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