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This research aims to critically examine the ethical integration of artificial intelligence (AI) in education through the perspective of maqāṣid al-sharīʿah, emphasizing the alignment between technological innovation and Islamic moral principles. The methods used are a systematic literature review and thematic content analysis against peer-reviewed publications for the period 2015–2025, which discuss the application of AI in primary, secondary, and higher education. The study identified dominant ethical issues, such as data privacy, algorithmic bias, accountability, human agency, and moral development, which were then mapped to Islamic ethical goals, including ʿadl (justice), amānah (belief), karāmah al-insān (human dignity), and ḥifẓ al-ʿaql (protection of reason). The results of the analysis show that the adoption of AI in education often emphasizes efficiency, personalization, and predictive analytics, but has the potential to reduce learners' autonomy and ethical reasoning. The mapping of maqāṣid al-sharīʿah shows a strong normative conformity, so that Islamic principles can be a moral foundation as well as a practical guide for AI governance. The research contribution is theoretical by bridging the literature on AI ethics and Islamic educational philosophy, as well as practical by offering an integrative framework for AI policymakers, educators, and developers. The integration of maqāṣid al-sharīʿah in AI governance ensures justice, trust, inclusivity, and the development of the whole human being (insān kāmil).

This study examines Fazlur Rahman’s double movement paradigm as a methodological framework for renewing contemporary Islamic thought. The background of this research lies in the ongoing crisis of Islamic epistemology, marked by the dominance of textual-literal interpretations that are detached from historical context, as well as modernist approaches that often lack strong Islamic methodological foundations. This condition has weakened the ability of Islamic thought to respond to modern social, ethical, and intellectual challenges. This research employs a qualitative approach using library research. The primary data consist of Fazlur Rahman’s major works, including Islam, Major Themes of the Qur’an, and Islam and Modernity, while secondary data are drawn from academic journals, books, theses, and previous studies discussing his thought. Data were analyzed through content analysis and interpretative analysis to identify key concepts, methodological patterns, and their implications for contemporary Islamic thought. The findings show that Fazlur Rahman conceptualizes the Qur’an as a source of universal moral values rather than a static legal code. His double movement method emphasizes understanding the Qur’anic text within its historical context and reapplying its moral principles to contemporary realities. This approach positions Rahman within the framework of Islamic neo-modernism, bridging classical Islamic tradition and modern intellectual demands. The study concludes that the double movement paradigm offers a relevant epistemological foundation for renewing Islamic thought, particularly in Qur’anic interpretation, Islamic law, and Islamic education, by promoting contextual, ethical, and critical reasoning.