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All Journal Proceeding ISETH (International Summit on Science, Technology, and Humanity) Indonesian Journal of Islamic Economic Law
Nugroho, Bramantyo Suryo
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Religion Computer Science & IT Economics, Econometrics & Finance Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences Other

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ChatGPT and Ijtihad in Shariah Economic Law Nugroho, Bramantyo Suryo; Rosyadi, Imron; Isman, I
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2023: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.5159

Abstract

ChatGPT, as an AI representation, can understand human language and provide responses simulating human interactions. In the context of Islamic law, this technology can assist scholars in interpreting Shariah economic laws by processing information from primary sources such as the Quran, Hadith, and Islamic literature. However, the use of ChatGPT in ijtihad for Shariah economic law poses complex challenges. This technology has limitations in understanding the context of Islamic legal principles and the nuanced language crucial for interpreting Islamic law. Additionally, ethical aspects are crucial, particularly in issuing fatwas or ijtihad related to Shariah Economic Law. This research aims to explain the concept of ijtihad from the perspective of Islamic law and address whether ChatGPT can act as a giver of fatwas in the aspect of Shariah Economic Law. This research employs a descriptive qualitative approach with a normative phenomenological approach. Primary data is gathered from literature sources and references on Islamic law, while secondary data is obtained from ChatGPT responses to the given prompts. The research concludes that ChatGPT, as a technological advancement, offers an ijtihad model that transcends time. However, ChatGPT has not yet been capable of being utilized as a giver of fatwas in the aspect of Shariah Economic Law. This is due to: (a) ChatGPT's difficulty in recognizing and comprehending words with specific and profound contexts, and (b) input data sourced from big data cannot guarantee the authenticity of the data when used for making legal decisions, particularly in Shariah Economic Law. There has not been a detailed study discussing ChatGPT as a means of ijtihad, specifically as a provider of fatwas in the domain of Shariah Economic Law.
Institutionalizing Artificial Intelligence within Indonesia’s Zakat Architecture: Navigating Regulatory Challenges and Sharia Compliant Implementation Nugroho, Bramantyo Suryo; Al-Giffari, Haekal Adha
Indonesian Journal of Islamic Economic Law Vol. 3 No. 1 (2026): Indonesian Journal of Islamic Economic Law
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijoel.v3i1.13927

Abstract

This study examines how zakat management, supported by artificial intelligence and big data, can be optimized within the context of Islamic finance in Indonesia to address persistent poverty and the gap between zakat potential and actual collection (Purpose). Using a qualitative approach, this research is based on a literature review and case analysis focusing on the application of artificial intelligence, big data analytics, and digital governance mechanisms in zakat management practices in Indonesia’s Islamic finance institutions (Methodology). The findings indicate that artificial intelligence and big data enhance zakat management by enabling data-driven decision making, predictive analytics, automated beneficiary verification, and real-time reporting, which improve collection performance, targeting accuracy, operational efficiency, and transparency in Islamic finance–based zakat institutions (Results). From a theoretical perspective, this study contributes to zakat management and Islamic finance literature by integrating artificial intelligence, big data, and sharia compliance into governance, accountability, and ethical decision-making frameworks (Theoretical implication). Practically, the study shows that zakat institutions can leverage artificial intelligence and big data to strengthen public trust and governance in zakat management, while addressing challenges related to regulation, data privacy, cybersecurity, algorithmic bias, implementation costs, and sharia compliance through instruments such as blockchain (Practical implication).
Co-Authors Al-Giffari, Haekal Adha Imron Rosyadi Isman, I