Artificial Intelligence and the Study of Seerah: Computational analysis, Educational Innovation, and Ethical Frameworks

Abstract

The advancement of artificial intelligence technology represents a revolutionary development in the study of Seerah (the biography of the Prophet Muhammad, peace be upon him). A new AI framework developed during this research allows the analysis of classical Seerah texts, followed by the creation of educational tools while addressing moral issues in digital Islamic studies. The study utilizes generative AI machine learning (ML) and natural language processing (NLP) to digitize and annotate primary Islamic literature, including Ibn Hisham’s Al-Sira al-Nabawiyya and Al-Tabari’s Tarikh al-Rusul wa al-Muluk which enables automatic theme and event and ethical lesson identification. A mixed research design combines computer modeling with. The innovations involve constructing a multilingual Seerah chatbot and creating an event chronology model that reaches 89% accuracy while constructing sentiment analysis software for ethical classification. According to case study results, educational applications receive approval from 78% of users, and the traditional chronology is comparable to 92% of the content. The research faces ongoing difficulties due to the lack of clarity regarding classical Arabic meanings and possible system errors. AI developers and Islamic scholars should collaborate to develop technology-based solutions that adhere to Islamic theological frameworks. The work combines computational science with humanities to enhance digital Islamic study advancement while providing practical guidance for AI in religious settings.