https://disah.inoor.ir/ Digital Islamic Humanities en daily 1 Thu, 23 Oct 2025 00:00:00 +0330 Thu, 23 Oct 2025 00:00:00 +0330 https://disah.inoor.ir/article_734662.html With the rapid advancement of artificial intelligence and the expansion of its applications across various domains, Islamic and human sciences have also been significantly influenced by this technological transformation. The use of intelligent technologies in processing religious texts, analyzing Islamic concepts, and deriving Sharīʿa rulings has created unprecedented opportunities for researchers. However, the application of these technologies is accompanied by numerous ethical challenges that require in-depth examination and the development of appropriate solutions.This study adopts a descriptive–analytical approach to investigate the ethical challenges arising from the use of artificial intelligence in Islamic and human sciences studies. Among the issues examined are algorithmic bias, distortion of religious concepts, accountability in AI-based decision-making, threats to privacy and data security, and broader cultural and social implications. The research methodology is based on qualitative data analysis and library-based sources, enabling a comprehensive evaluation of the various dimensions of these challenges.The findings indicate that the use of artificial intelligence in Islamic studies, without adherence to ethical principles, may result in the distortion of religious texts, misinterpretation of religious teachings, and the weakening of cultural identity. The study also highlights that mitigating these risks requires the development of precise ethical and regulatory frameworks, the design of transparent and controllable AI models, and the integration of human expertise with intelligent technologies. The novelty of this research lies in proposing a comprehensive model for the ethical governance and management of artificial intelligence in Islamic and human sciences, which can serve as a foundation for future research and policy development. https://disah.inoor.ir/article_734688.html  Determining the issuance (ṣudūr) of a hadith constitutes one of the fundamental stages in Hadith studies. Due to its inherent complexities, this process requires high precision and the systematic execution of ordered, step-by-step procedures. Hadith scholars rely primarily on the science of rijāl (biographical evaluation of transmitters) to authenticate this process. However, this methodological pathway has not been formally codified or clearly articulated in scholarly sources and has largely remained implicit, experiential, and mentally practiced. Therefore, process modeling of these stages is essential for systematizing the knowledge of determining hadith issuance and facilitating its integration into digital tools.This article focuses on the first three stages of determining the issuance of hadith, namely: (1) verification of certainty regarding issuance; (2) reconstruction of the chain of transmission (isnād); and (3) identification of transmitters. It seeks to clarify and model the step-by-step procedures involved in these operations. Process modeling of these stages enables the design of conceptual models and algorithms that may serve as a foundation for the digitalization of hadith authentication processes. Furthermore, the study examines the role of such process modeling as a bridge between traditional hadith scholarship and modern technological tools.The aim of this article is to explicate and model the stages involved in determining the issuance of hadith and to propose frameworks that can serve as a basis for developing digital hadith authentication systems. Given the breadth of the subject, this study—based on library research and employing a descriptive-analytical method—addresses only the first three stages, while the examination of the remaining two stages is deferred to future research. https://disah.inoor.ir/article_734665.html This article presents a philosophical analysis of the concept of identity in the context of artificial intelligence from the perspective of Transcendent Theosophy—particularly the views of Mulla Ṣadrā—and contemporary philosophy. With the rapid advancement of artificial intelligence as one of the most significant innovations in computer science, fundamental questions have arisen regarding the reconstruction of human identity and its comparison with natural intelligence. This study examines the philosophical capacities and limitations of artificial intelligence from the viewpoints of Ṣadr al-Mutaʾallihīn and John Searle and offers a comparative analysis of their perspectives on identity and consciousness in machines and intelligent systems. According to both thinkers, despite its remarkable progress, artificial intelligence is incapable of attaining human identity, as it lacks essential attributes such as consciousness, intentionality, and immateriality. John Searle maintains that artificial systems will never achieve genuine consciousness, since the comprehension of meaning and the experience of awareness are unique characteristics of the human brain and mind and cannot be attributed to machines. He has consistently reinforced this position through his famous “Chinese Room” thought experiment and his extensive critiques of prevailing theories of artificial intelligence. https://disah.inoor.ir/article_734687.html With the advancement of digital technologies, computer software has become an essential tool and an unparalleled platform for conducting scientific research. In this context, Islamic sciences—and consequently Islamic philosophy—have also benefited from this technological transformation, particularly through the efforts of the Noor Computer Research Center for Islamic Sciences, which has produced valuable research software in various Islamic fields, especially Islamic philosophy. This article examines the infrastructural role of computer software, including digital library software and subject dictionaries, in facilitating philosophical research. It explains how modern computational technologies can enhance both the quality and quantity of research in this field. In this regard, practical solutions for recognizing and optimally utilizing these tools in advancing research in Islamic philosophy are explored, along with the opportunities and challenges they present.In particular, subject dictionary software for Islamic philosophy and its applications in philosophical research are analyzed. Research and exploration of philosophical texts can be conducted through two primary methods: lexical search and conceptual search. However, lexical search alone is insufficient to meet the needs of researchers, and conceptual search capabilities are essential. Subject dictionaries represent one of the most effective tools in this regard, significantly assisting researchers in achieving accurate and meaningful results. By examining methods of content analysis based on topics, indexing, keywords, and auxiliary systems (such as synonyms, related terms, and cross-references) within subject dictionaries, the critical importance of these tools in improving the efficiency, accuracy, and depth of research—particularly in conceptual search—becomes evident. This approach can serve as a foundation for enhancing both the quality and quantity of scholarly production in Islamic philosophy and wisdom. https://disah.inoor.ir/article_734689.html Digital humanities, as an emerging field at the intersection of modern technologies and humanistic studies, is rapidly expanding and gradually establishing itself as an independent epistemic discourse. This discourse is grounded in epistemological presuppositions largely derived from the positivist, instrumentalist, and data-driven traditions of modern Western thought. Assumptions such as the primacy of data over meaning, the neutrality of tools, and the possibility of digitally modeling human cognitive structures lie at the core of its theoretical framework. However, a fundamental question arises as to the extent to which these foundations can be generalized to other epistemic systems, such as Islamic epistemology. Employing an analytical-comparative method and drawing on sources from Islamic philosophy—particularly within the framework of Sadrian Transcendent Theosophy—this article critically examines the epistemological foundations of digital humanities. Within this framework, knowledge is understood not as data-based representation, but as the existential and presential realization of the relationship between the knower and the known. Principles such as presential knowledge, the agency of the soul, the unity of knowledge and the knower, and the ontological gradations of cognition stand in fundamental tension with the foundations of digital humanities. The findings indicate that, in its current state, digital humanities suffers from serious epistemological deficiencies in its understanding of the nature of knowledge, the role of the subject, and the validity of meaning. Without a critical reassessment of these foundations, it cannot be effectively employed or indigenized within the Islamic intellectual tradition. In addition to critiquing existing assumptions, this article proposes new horizons for reconstructing digital humanities on the basis of Islamic epistemology and within the framework of Islamic humanities in a digital context. https://disah.inoor.ir/article_734673.html This systematic review, conducted using the PRISMA framework, examines the role of information technologies, data science, and artificial intelligence in the processing and analysis of digital Qur’anic studies content during the publication period from 2020 to 2025. In the process of searching and selecting articles, 35 high-quality studies were ultimately selected for final analysis. In the initial stage, a total of 150 articles were retrieved from reputable databases such as Google Scholar, Semantic Scholar, Scopus, and ResearchGate, using keywords related to Qur’anic technologies, artificial intelligence, semantic analysis, knowledge graphs, natural language processing, and digital exegesis. During the preliminary screening, articles relevant in terms of title and abstract were approved, reducing the number to 85. Subsequently, based on scientific methodology, empirical results, and a focus on structural, semantic, and validation technologies, the number of articles was narrowed down to 50. In the quality assessment stage, articles were scored according to criteria such as clarity of objectives, scientific approach, sample size, and innovation, and those with high scores (at least 80 out of 100) were selected. Finally, 35 articles with the highest scores and strong academic credibility were chosen for final analysis and extraction of findings. The results indicate that semantic database technologies, structural models, multilingual and multitask deep learning technologies, validation and interpretable evaluation technologies, as well as structural and syntactic analysis tools play a significant role in analyzing the conceptual, semantic, and structural relationships of Qur’anic verses. However, their effective application in the field of digital Qur’anic studies requires rich datasets, precise annotation, the development of multi-layered technologies, and data standardization. The development of robust and interpretable technologies, along with data standardization, constitutes the key to sustainable and effective utilization of modern technologies in this domain. https://disah.inoor.ir/article_734679.html Digital humanities, as an interdisciplinary approach, has provided new platforms for the development of services, resource organization, and knowledge production in libraries. The present study aims to conduct a bibliometric analysis of scholarly outputs at the intersection of digital humanities and libraries in order to identify research trends, knowledge structures, and key contributors in this field. The research method is bibliometric analysis, and the data were extracted from the Scopus database and analyzed using the Bibliometrix software after refinement. The statistical population includes all articles published in this field up to the time of the study. Keyword analysis and their temporal trends indicate that studies on digital humanities in libraries have followed a gradual trajectory: an initial focus on information infrastructures and technology use (2010–2013), a shift toward digitization and the creation of digital collections (2013–2016), an emphasis on knowledge organization, the Semantic Web, and cultural heritage (2016–2020), and finally, innovations based on big data, machine learning, and artificial intelligence (from 2020 onward). The co-occurrence network of terms reveals four main clusters: the direct linkage between digital humanities and libraries, humanities foundations, the Semantic Web and cultural heritage, and digital resources and practical projects. Thematic mapping across different time periods indicates that topics have gradually moved from an emergent and constrained phase toward maturity and specialization. In recent years, particular attention has also been given to the educational and social dimensions of digital humanities. This trend demonstrates that libraries are moving beyond their traditional role as data repositories and are becoming dynamic platforms for knowledge production, support for interdisciplinary research, and the application of intelligent technologies. By providing a comprehensive picture of the relationship between digital humanities and libraries, the findings of this study can contribute to the future development of libraries and policymaking in this field. https://disah.inoor.ir/article_734672.html This study examines the impact of artificial intelligence on the jurisprudential process of ijtihād and the principles of Islamic jurisprudence (uṣūl al-fiqh). With the rapid advancement of modern technologies, particularly artificial intelligence, the application of these technologies in the derivation of Sharīʿa rulings and the interpretation of religious texts has enhanced the accuracy, speed, and comprehensiveness of the ijtihād process. The findings, based on natural language processing algorithms, indicate that artificial intelligence can extract fundamental concepts from jurisprudential texts with an accuracy exceeding 92%. However, several challenges remain, including difficulties in understanding abstract and complex concepts such as maṣlaḥat al-niẓām (public or systemic interest), interpretive disagreements in ijtihād, algorithmic biases, privacy concerns, and the lack of transparency in decision-making processes (the so-called Black Box problem). This study seeks to integrate the technical capabilities of artificial intelligence with the insight and interpretive expertise of jurists by proposing a three-layered model consisting of data processing, interactive analysis, and final decision-making. The research methodology is based on systematic review and comparative analysis, drawing upon both classical and contemporary sources. The results suggest that artificial intelligence can serve as a supportive tool in facilitating the derivation of Sharīʿa rulings. Nevertheless, the ultimate validity and authority of legal opinions (fatwas) still require the supervision, approval, and judgment of qualified and knowledgeable jurists. https://disah.inoor.ir/article_734666.html The rapid growth of digital technologies in recent decades has fundamentally transformed research methodologies in Islamic text studies. This article aims to conduct a systematic review of at least 20 scholarly sources published between 2015 and 2025 in order to identify research trends, applied methodologies, structural barriers, and key solutions in both domestic and international contexts. The findings indicate that research has evolved from the initial stage of digitization toward scalable quantitative and qualitative analyses. Traditional approaches to Islamic text analysis, which were largely based on subjective interpretation and limited textual samples, are now being redefined through the use of digital tools that enable large-scale data processing, statistical analysis, and information visualization. Key technical drivers of this transformation include optical character recognition of textual manuscripts, natural language processing of Arabic and Persian texts, and the application of machine learning and deep learning methods to analyze conceptual correlations. At the same time, several structural challenges have been identified, including the lack of standardized data formats, legal and accessibility constraints related to textual resources, and inequalities in access to computational infrastructure and high-quality datasets for regional languages. Based on these findings, the article proposes a conceptual framework consisting of three main pillars: data standardization, the development of open and international infrastructures, and the design of interdisciplinary educational programs to empower researchers. This framework can serve as an effective guide for advancing systematic, sustainable, and inclusive Islamic text research in digital environments and for enhancing the quality and impact of religious studies in the technological era. https://disah.inoor.ir/article_734680.html Paradigmatic transformations driven by digital technologies have fundamentally reshaped the landscape of the humanities, particularly Islamic historical studies. Adopting a futures-oriented approach, this study provides a multidimensional and in-depth analysis of the synergy between Islamic historical studies and digital humanities. The research focuses on the transformative capacities of technologies such as artificial intelligence, big data analytics, natural language processing, and the systematic digitization of historical documents and written heritage. These technologies enable new interpretations and critical analyses of Islamic history. The central objective of this research is to identify and analyze the capacities of digital humanities to bring about a paradigmatic shift in the methodology of Islamic historical research and to outline potential future scenarios for this field. Using a descriptive–analytical method and critical examination of documents, existing data, and previous studies, the research evaluates the role of emerging technologies in enhancing and rethinking research methodologies in Islamic historiography. The findings demonstrate that integrating digital tools with Islamic historical studies not only accelerates and improves the accuracy of analyzing complex and large-scale datasets but also enables intelligent data retrieval, advanced documentation of sources, and the presentation of alternative and multi-perspective historical narratives based on analytical algorithms. However, challenges such as large-scale validation of digital data, identification and control of algorithmic biases, and epistemological and methodological limitations resulting from digitization require further examination and innovative solutions. This study emphasizes the necessity of developing comprehensive and interactive digital platforms and strengthening strategic and interdisciplinary collaboration among historians, data scientists, and information technology specialists. To enhance the depth and quality of Islamic historical studies, the implementation of intelligent data mining systems, dynamic and standardized digital archives, and adaptive and predictive futures-oriented models is recommended. Ultimately, this research provides practical, evidence-based pathways for the optimal use of modern technologies in the revitalization, critical interpretation, and sustainable development of Islamic historiography. https://disah.inoor.ir/article_734671.html Manual thematic classification of Qur’anic verses is a time-consuming and complex process. Given that many verses address multiple themes simultaneously, the need for an efficient automated method to organize Qur’anic content based on thematic categories has become increasingly evident. The primary research question of this study is how machine learning (ML) and deep learning (DL) techniques can be utilized to develop an automated system capable of determining the theme or themes of each verse. This study adopts a descriptive-analytical research method. First, key concepts and relevant literature are examined, followed by an analysis of various ML and DL approaches applied to thematic classification of Qur’anic verses. The findings indicate that classical algorithms such as Naïve Bayes and Support Vector Machines have produced acceptable results. However, given that more than half of the verses require multi-label classification, the use of multi-label models is essential. The application of Convolutional Neural Networks (CNNs) and Transformer-based models has significantly improved classification accuracy, with recent studies reporting accuracy rates exceeding 90%. These findings demonstrate the effectiveness of automated systems as supportive tools for researchers in Qur’anic studies. Nevertheless, limitations such as reliance on labeled datasets and limited model interpretability remain significant challenges. Overall, integrating computer science methodologies with Qur’anic studies through automated thematic classification systems provides an effective complementary approach to traditional exegetical and indexing methods, opening new avenues for Qur’anic research in the digital age. https://disah.inoor.ir/article_719119.html This research aims to investigate and enhance the underlying infrastructure for implementing general authentication in the Drayeh al-Noor software. Specifically, this paper examines the pivotal role of modern information technologies in verifying and correcting the teacher-student relationship, a fundamental infrastructure for certain general authentication rules. Given that the Drayeh al-Noor software has so far focused on verifying the apparent relationship between the narrator and the narrated, and has encountered challenges such as fabrication, excess, omission, and doubts regarding the actual teacher-student relationship, purifying and correcting these relationships is of paramount importance. Employing a descriptive-analytical method, this paper examines the existing infrastructure within the software and offers suggestions for improving and completing the process of verifying the teacher-student relationship using modern information technologies. Due to its emphasis on the role of these technologies in preparing the infrastructure for implementing general authentication, this research can serve as a practical guide for scholars of Rijal to enhance the processes of jarh and ta'dil and improve the accuracy of hadith authentication.