ALGORITHMIC JUSTICE IN SHARIAH ECONOMICS: ETHICAL AI MODELS FOR FAIR DIGITAL GOVERNANCE
Abstract
This study explores the concept of algorithmic justice in Shariah economics, emphasizing the ethical integration of artificial intelligence (AI) in digital governance systems to ensure fairness, transparency, and accountability. Rooted in the principles of maqasid al-shariah and adl (justice), the research investigates how ethical AI models can be designed to align algorithmic decision-making with Islamic moral values. Using a quantitative-explanatory design, data were collected from 250 respondents comprising experts in Islamic finance, digital governance, and AI ethics. The study employed Smart Partial Least Squares (Smart PLS 4.0) for measurement and structural model analysis. Construct validity and reliability were tested through confirmatory factor analysis, while the structural model examined the relationships between ethical AI design, Shariah compliance, algorithmic transparency, and digital governance fairness. The results reveal that ethical AI significantly influences both Shariah compliance and digital governance fairness, mediated by algorithmic transparency. The findings highlight the potential of Shariah-based ethical frameworks to guide AI development toward socially responsible and justice-oriented outcomes. The study concludes that algorithmic justice in Islamic economics is not only a technical matter but a moral imperative requiring the integration of human ethics, religious law, and technological accountability.
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Copyright (c) 2026 Trisna Wanto, Siri Lek, Lucas Lima
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