Artificial intelligence (AI) has brought about revolutionary changes in many disciplines in recent years. Islamic sciences, particularly Quranic recitation studies and verification processes, significantly benefit from these innovations offered by AI. This article provides a detailed examination of the impact of AI on Quranic recitation studies and verification processes.

1. AI's Contributions to Recitation Studies

a. Analysis and Classification of Recitation Variations

AI offers effective tools for analyzing and classifying the different recitations (qirā’āt) of the Quran. Machine learning algorithms can identify phonetic and semantic differences at the word level, providing detailed insights. This enables the systematic examination of the methods employed by recitation imams and allows for a better understanding of the historical development of recitations.

b. Text Verification and Prevention of Tampering

Preserving the authenticity of the Quranic text has always been a top priority. AI provides robust tools for text verification and tampering detection. For example, digitizing ancient manuscripts and comparing them using AI algorithms can help identify potential errors or alterations in the texts. This plays a crucial role in ensuring the accuracy and integrity of the Quran.

c. Analysis of Audio Recitations

AI facilitates the analysis of Quranic recitation data not only from written texts but also from audio recordings. Speech recognition technologies can classify different recitation styles based on tone, pronunciation of letters, and adherence to tajweed rules. This allows for the development of new and effective methods in Quranic recitation education.

2. Use of AI in Verification (Tahqīq) Studies

Tahqīq refers to the academically rigorous process of verifying the authenticity of texts and publishing them. AI can support verification efforts in various ways:

a. Manuscript Analysis

Optical Character Recognition (OCR) technology facilitates the digitization and analysis of ancient Quranic manuscripts. AI algorithms can detect inconsistencies across different versions, enabling a more accurate verification process.

b. Comparative Manuscript Studies

Comparing multiple manuscripts is often a time-consuming process. AI can quickly identify textual differences, helping scholars determine the version closest to the author's original work. This enhances the efficiency of verification studies.

c. Semantic and Grammatical Verification

AI models can analyze the grammatical and semantic structure of the Quranic text, assessing whether the text maintains its intended coherence and meaning. This plays a significant role in the accurate understanding and interpretation of the text.

3. Challenges and Ethical Concerns

The use of AI in analyzing religious texts presents certain challenges and ethical issues:

a. Neutrality of Algorithms and Accuracy of Datasets

The neutrality of AI algorithms and the accuracy of the datasets they are trained on are of paramount importance. Models trained on incorrect or biased data can produce faulty results, leading to the misinterpretation of the Quran.

b. Sensitivity of Sacred Texts

Handling sacred texts like the Quran with AI requires respecting the sensitivities of the related communities. Analyzing these texts accurately and respectfully is essential to avoid harming the beliefs of the communities involved.

c. Technical and Scientific Limitations

It is important to recognize that AI technologies are not yet fully perfect and have certain technical limitations. Therefore, the results provided by AI should always be supported by human oversight and academic evaluations.

4. Future Perspectives

The role of AI in Quranic recitation studies and verification processes is increasing. In the future, with the development of more advanced AI models and algorithms, it is expected that studies in this field will be conducted in a more in-depth and comprehensive manner. Additionally, the integration of AI with traditional Islamic sciences can facilitate the accurate and effective dissemination of religious texts to a broader audience.

Conclusion

AI offers groundbreaking innovations in Quranic recitation studies and verification processes. These technologies facilitate a more systematic examination of Quranic recitation sciences, ensure the accuracy of texts, and improve religious education processes. However, the ethical and technical dimensions of AI applications must be carefully addressed, and the guidance of experts in the field should be sought. This approach ensures a healthy integration of traditional Islamic sciences with modern technologies.