URDU-AUTOMATED TRANSLATION, CHATBOTS, AND THE PROVISION OF ISLAMIC KNOWLEDGE: AN ANALYTICAL STUDY IN THE CONTEXT OF ARTIFICIAL INTELLIGENCE

اسلامی علوم وفنون کی ترسیل و تفہیم میں خودکار ترجمہ اور چیٹ بوٹس کی معاونت (مصنوعی ذہانت کے تناظر میں تجزیاتی مطالعہ)

Abstract

This paper is a critical review of how artificial intelligence, neural machine translators (NMT) and large language models (LLM) chatbots are used to spread Islamic religious knowledge. With people becoming more dependent on such tools as Google Translate and ChatGPT when they have to interpret sacred texts (Quran, Hadith) and solve complicated theological problems, this study examines the opportunities and threats involved. The paper reviews the accuracy of NMT translating classical Arabic texts into Urdu and the response of chatbots to Islamic queries using the qualitative analysis approach. The results indicate that there is a rather wide gap in reliability; despite providing unprecedented access to it, these generic AI models fail to be sensitive to language and contextual details, as well as proven academic paradigms (madhhabs), which could lead to the loss of original discourse. As a result, the paper suggests a design of a responsible, morally oriented AI system. This encompasses verified and edited data as well as partnership with engineers and Islamic scholars. This is brought to a close by concluding that technology must act as a responsible and not substitutive medium of--traditional scholarship to maintain the integrity of the Islamic knowledge in the digital age.