Kolaborasi Manusia dan AI dalam Penafsiran Al-Qur’an: Memikirkan Kembali Peran Mufasir dalam Pengetahuan Keagamaan Algoritmik

This study examines human–AI collaboration in Qur’anic interpretation by reconsidering the epistemological role of the mufassir within the emerging ecosystem of algorithmic religious knowledge. The development of generative artificial intelligence, particularly large language models (LLMs), has transformed how Qur’anic knowledge is accessed, produced, and disseminated. Although AI demonstrates significant capabilities in generating coherent interpretations, synthesizing information, and retrieving textual references, its outputs raise critical questions concerning interpretive authority, methodological validity, source reliability, and epistemic accountability. This study employs a qualitative approach with an analytical-comparative design to investigate the relationship between AI-generated interpretations and established classical and contemporary Qur’anic exegesis. Data are analyzed through three interconnected stages: AI interpretation generation, human critical evaluation, and exegetical validation. The study argues that AI should not be positioned as a replacement for the mufassir, but rather as a computational instrument that facilitates textual exploration, source retrieval, and interpretive synthesis. Accordingly, this research proposes the concept of Human-Centered Algorithmic Tafsir, which repositions the mufassir as an epistemic validator, contextualizer, curator, and ethical supervisor. This framework emphasizes that technological efficiency cannot independently establish interpretive legitimacy, as Qur’anic interpretation requires methodological competence, contextual awareness, and human responsibility.