Otoritas Penafsiran Al-Qur'an di Era Artificial Intelligence: Tantangan dan Peluang

Authors

  • Agus Agus Rifki Ridwan Universitas Al-Qur'an Ittifaqiah Indralaya, Indonesia
  • Aghnia Faradits Universitas Al-Qur'an Ittifaqiah Indralaya, Indonesia
  • Ferry Heryadi Universitas Al-Qur'an Ittifaqiah Indralaya, Indonesia
  • Muyasaroh Universitas Al-Qur'an Ittifaqiah Indralaya, Indonesia
  • Irmawati Universitas Al-Qur'an Ittifaqiah Indralaya, Indonesia

DOI:

https://doi.org/10.55681/ijssh.v4i2.2680

Keywords:

Interpretive Authority, Qur’an, Artificial Intelligence, Digital Tafsir, Tafsir Studies

Abstract

This study aims to analyse the authority of Qur’anic interpretation in the era of Artificial Intelligence (AI) and to identify the challenges and opportunities arising from the use of this technology in tafsir studies. This study employs a library research method with a qualitative-descriptive approach through the analysis of various literature related to Qur’anic exegesis, religious authority, and the development of artificial intelligence. The findings show that AI has expanded public access to tafsir information, increased the efficiency of searching for Islamic sources, and supported the wider dissemination of Qur’anic knowledge. However, the use of AI also presents challenges, including limitations in understanding the historical, linguistic, and methodological contexts of interpretation, as well as the potential for bias and information inaccuracy. This study concludes that AI cannot replace the authority of mufassirs in interpreting the Qur’an, but it can be used as a supporting instrument in learning and tafsir research. Therefore, AI must be used critically and responsibly while maintaining scholarly competence as the primary foundation of interpretation.

References

Al-Dhahabi, M. H. (2000). Al-Tafsir wa al-Mufassirun (Vol. 1–3). Cairo: Dar al-Hadith.

Al-Qattan, M. K. (2007). Mabahith fi 'Ulum al-Qur'an. Cairo: Maktabah Wahbah.

Bauer, T. (2015). A Culture of Ambiguity: An Alternative History of Islam. Columbia University Press.

Berg, B. L. (2004). Qualitative Research Methods for the Social Sciences (5th ed.). Pearson Education.

Bunt, G. R. (2018). Hashtag Islam: How Cyber-Islamic Environments Are Transforming Religious Authority. University of North Carolina Press.

Campbell, H. A. (2013). Digital Religion: Understanding Religious Practice in New Media Worlds. Routledge.

Campbell, H. A. (2021). Digital Creatives and the Rethinking of Religious Authority. Routledge.

Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). Sage Publications.

Czichos, H., & Saito, T. (2006). Springer Handbook of Materials Measurement Methods. Springer.

Fischli, A. E., Godfraind, T., & Purchase, I. F. H. (1998). Conclusions and Recommendations. Archives of Toxicology Supplement, 20, 307–312.

Floridi, L., & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30(4), 681–694. https://doi.org/10.1007/s11023-020-09548-1

Kaplan, A. M., & Haenlein, M. (2019). Siri, Siri, in My Hand: Who's the Fairest in the Land? On the Interpretations, Illustrations, and Implications of Artificial Intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeiffer, F., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., ... Kasneci, G. (2023). ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage Publications.

McDonough, J., & Shaw, C. (2012). Materials and Methods in ELT: A Teacher's Guide (3rd ed.). Wiley-Blackwell.

Wilson, E. B. (1990). An Introduction to Scientific Research. Dover Publications.

Zed, M. (2014). Metode Penelitian Kepustakaan. Yayasan Obor Indonesia.

Zaidan, O. F., & Callison-Burch, C. (2023). Large Language Models and the Future of Knowledge Access. AI and Society, 38(4), 1257–1268.

Downloads

Published

2026-06-30

How to Cite

Agus Rifki Ridwan, A., Faradits, A., Heryadi, F., Muyasaroh, M., & Irmawati, I. (2026). Otoritas Penafsiran Al-Qur’an di Era Artificial Intelligence: Tantangan dan Peluang. International Journal of Social Sciences and Humanities, 4(2), 440–446. https://doi.org/10.55681/ijssh.v4i2.2680