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The advancement of digital technology has brought significant changes to economic transaction systems, shfting from conventional face to face transactions to online based transactions. This transformation offers greater convenience and efficiency homever, it also raises various legal issues, practicularly concerning transparency, fairness, and te clarity of information in transactions. From the perspective of Islamic commercial law, this situation has the potential to give rise to elements of gharar due to limitations in direct verification and information asymmetry. This study aims to analyze the integration of Artificial Intelligence (AI) in minimizing gharar in digital transactions. The method used is a qualitative approach with a normative-empirical research design through literature review and interviews with practitioners and academics. The analysis is conducted descriptively-analytically and comparatively between AI practices and Sharia principles. The results indicate that AI plays a role in enhancing transparency through data verification, fraud detection, and real-time information presentation, thereby supporting the principles of bayan, taradi, and hifz al-mal. However, the potential for gharar may still arise if algorithms lack transparency, are biased, or are misused. Therefore, human oversight and Sharia audits are necessary to ensure that the use of AI remains in line with the principles of justice and public interest in Islamic economic transactions.
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Kamala et al. (2026) studied this question.
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