A faculty member in the Department of Quranic Sciences and Islamic Education publishes a scientific paper in Al-Qubba Al-Baydaa Journal on the use of artificial intelligence in verifying prophetic had
Assistant Professor Dr. Abdul Hamid Muzahim Shaker, a faculty member in the Department of Quranic Sciences and Islamic Education at the College of Education, Samarra University, published a research paper in Al-Qubba Al-Bayda Journal, in its ninth issue of the third year (Jumada al-Ula 1446 AH / November 2025 CE), entitled: “The Use of Artificial Intelligence in Hadith Narration Verification: An Evaluative Study in Light of the Rules of Hadith Terminology.”
The research was a critical scientific study examining the use of artificial intelligence techniques in the field of hadith narration verification, analyzing the accuracy of these tools and their adherence to the scientific standards established by hadith terminologists in the criticism of the chain of transmission (isnad) and the text (matn).
Shaker highlighted the problem of the increasing reliance on algorithms, machine learning techniques, and natural language processing in classifying and analyzing hadiths. He explained that these tools, despite their technological advancements, still require methodological refinement to ensure their compatibility with the established principles of hadith criticism and textual analysis. The research concluded that artificial intelligence can facilitate hadith research, but it remains an auxiliary tool that cannot replace human scholarly effort, given its limitations in understanding the nuanced contexts of hadiths and the critical dimension inherent in the science of hadith transmission.
In conclusion, Shaker recommended the need to develop hybrid digital models that combine computing capabilities and specialized scientific expertise, with the supervision of Hadith scholars over the construction of these systems, and the establishment of scientific and ethical controls for their use, in order to ensure the preservation of the authenticity and accuracy of the Hadith methodology throughout the various stages of digital analysis.

