Abstract
Amid the intricate tapestry of Muslim societies, this study explores the multifaceted dimensions of political, economic, and social factors to unravel the complexities of Muslim identity. Utilizing an innovative methodology, this research employs a GPT-based chatbot as a conduit to capture prevalent opinions within the society. Through a two-stage approach encompassing 15 questions across political, economic, and social domains, this study aims to illuminate areas of convergence and divergence within Muslim societies. In contrast to the variability observed in the political and cultural spectra, the study identifies a remarkable trend of unanimity concerning economic matters within Muslim communities. This trend is ascribed to the notable advancements witnessed in the field of Islamic finance and economics. The widespread adoption of Islamic banking principles, coupled with unanimous recognition of the adverse effects of interest (riba) and the efficacy of Zakat and Waqf institutions in alleviating poverty, underscores the depth of comprehension and agreement within the Muslim community regarding economic affairs. These findings have profound implications for understanding Muslim identity and offer insights into potential avenues for fostering cohesion and addressing challenges within Muslim societies.
| Original language | English |
|---|---|
| Title of host publication | Artificial Intelligence and the Future of Islamic Finance |
| Publisher | Taylor and Francis |
| Pages | 30-49 |
| Number of pages | 20 |
| ISBN (Electronic) | 9781040565872 |
| ISBN (Print) | 9781041026730 |
| DOIs | |
| Publication status | Published - 1 Jan 2026 |
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