Theme 1: Artificial Intelligence and Its Impact on Qur’anic Studies
Supporting Qur’anic sciences (Makki and Madani, أسباب النزول, abrogation) through automated analysis tools.
Enhancing Tafsir studies: compiling interpretations, clarifying points of اختلاف, tracking exegetical methodologies.
Thematic indexing of verses based on classical classifications (rulings, stories, creed).
Supporting studies of rare Qur’anic vocabulary and lexicons through linguistic analysis.
Critical editing of Tafsir works and manuscript comparison using modern technologies.
Theme 2: Artificial Intelligence and Its Impact on Hadith Studies
Supporting Isnad studies: mapping narrator networks, طبقات analysis, continuity/discontinuity of chains.
Enhancing al-Jarh wa al-Ta‘dil: compiling and classifying scholars’ evaluations.
Supporting Hadith terminology: applying classifications (sahih, hasan, da‘if) in digital environments.
Indexing Hadith according to fiqh chapters (as in Sunan collections).
Critical editing of Hadith works, comparing narrations, and tracking transmission routes.
Theme 3: Artificial Intelligence and Its Impact on Fiqh and Usul al-Fiqh
Supporting madhahib studies: compiling intra-school narrations, tracking derivation and preference.
Supporting legal maxims and their applications to contemporary issues.
Representing Usul al-Fiqh principles (qiyas, ijma‘, istishab) in inferential systems.
Supporting advanced اختلاف literature: defining disputes and compiling opinions.
Indexing fiqh issues based on traditional classifications (worship, transactions, criminal law, etc.).
Supporting legal derivation processes and linking branches to foundational principles.
Theme 4: Artificial Intelligence and Its Impact on Creed and Da‘wah Studies
Supporting classical creed texts: tracking terminology and doctrinal methodologies.
Analyzing theological discourse and polemical literature in heritage texts.
Supporting dialectics and debate through structured argumentation and شبهات analysis.
Supporting traditional da‘wah discourse (sermons, letters, exhortations) through compilation and classification.
Studying the spread of doctrinal and da‘wah issues through text analysis.
Theme 5: Artificial Intelligence and Its Impact on Financial Transactions
Supporting fiqh of transactions (sales, leasing, partnerships, etc.).
Classifying contracts according to classical fiqh frameworks.
Supporting legal analogy for contemporary financial issues by linking them to classical precedents.
Analyzing texts of hisbah and traditional Islamic economics.
Compiling and comparing juristic opinions on historical financial issues.
Theme 6: Artificial Intelligence and Its Impact on the Halal Industry
Establishing halal and haram concepts from classical fiqh and linking them to modern applications.
Supporting jurisprudence of slaughtering and food laws through textual analysis.
Tracking juristic opinions on permissibility standards across madhahib.
Supporting Shariah boards through structured access to primary fiqh sources.
Indexing halal-related rulings according to traditional fiqh classifications.
Theme 7: Artificial Intelligence and Its Impact on Judiciary and Shariah Policy
Supporting judicial work: analyzing cases, classifying them, and identifying their fiqh precedents.
Enhancing judicial ijtihad: representing usul-based reasoning and presenting juristic pathways.
Contributing to the standardization of ijtihad and reducing discrepancies between rulings.
Supporting Shariah policy: linking decisions to maqasid (objectives of Shariah) and analyzing outcomes.
Developing judicial systems and improving procedures and governance.
Regulating the use of AI in accordance with Shariah guidelines while emphasizing the role of the judge.