Knowledge Without an Isnād: Can Artificial Intelligence Speak for Islam Without Scholarly Competence?
Artificial intelligence has rapidly acquired the capacity to participate in religious discourse. It can interpret Qur’anic passages, summarize classical jurisprudential opinions, compare legal schools, and formulate responses that resemble the work of experienced Islamic scholars. What previously required access to extensive libraries and years of disciplined study can now be explored through a digital interface within seconds. Yet, beneath this technological achievement lies a fundamental epistemological question: does the ability to produce a correct religious answer constitute genuine religious knowledge? More importantly, can a system that generates religious interpretations legitimately exercise scholarly authority without possessing the intellectual qualifications traditionally associated with Islamic scholarship?
The central concern is not that artificial intelligence discusses Islam. Its participation in religious discourse is already an established reality. The deeper problem arises when users attribute greater credibility to AI-generated responses than their evidential foundations warrant. Fluency may be mistaken for understanding, informational abundance for intellectual depth, and the ability to reproduce scholarly opinions for the competence required to evaluate them. Once persuasive language becomes a substitute for verification, the question shifts from whether an answer is adequately supported to why anyone should doubt a response that sounds so convincing.
Islamic intellectual traditions offer a substantially richer understanding of knowledge than the mere accumulation and reproduction of information. Knowledge requires discernment, critical examination, methodological competence, sensitivity to context, and an appreciation of the interpretive possibilities and limitations of authoritative texts. Memorization alone does not make someone a jurist, just as transmitting an opinion does not automatically qualify someone to exercise independent legal reasoning. If human beings do not become scholars simply by possessing extensive memories, why should an artificial system acquire scholarly status merely because it can retrieve vast quantities of information and reorganize them into coherent answers?
The epistemological concerns raised by AI resonate with the intellectual project of Abu Hamid al-Ghazali, particularly his examination of certainty in al-Munqidh min al-Dalal (Deliverance from Error). Al-Ghazali’s reflections emphasize the importance of investigating the foundations upon which claims to knowledge rest. Although his work cannot be interpreted as a direct response to technologies that emerged centuries later, its critical orientation provides a valuable framework for contemporary reflection. What justifies our confidence in a religious answer generated by an algorithm? Is its credibility established by the accuracy of its evidence, the traceability of its sources, the soundness of its reasoning, or merely its appearance of plausibility? The pursuit of truth requires more than receiving and accepting statements; it demands examination of their foundations, scrutiny of their evidence, and critical evaluation of the reasoning through which conclusions are reached. Accordingly, the use of AI in religious inquiry should strengthen the commitment to verification rather than diminish it.
The most significant danger associated with AI is not simply its capacity to produce errors. Scholars, researchers, and religious authorities are also fallible. The distinctive challenge is that an algorithm may present an incorrect conclusion with a level of linguistic confidence that conceals its weaknesses. It may generate nonexistent references, misrepresent disputed interpretations as established consensus, or combine individually accurate statements into an unjustified conclusion. Such errors can be particularly difficult to identify when users lack the methodological knowledge necessary to examine the underlying sources. The sophistication of an answer may therefore conceal deficiencies that would otherwise become apparent through careful scholarly scrutiny.
This concern brings the concept of isnād into the discussion. Particularly important in hadith scholarship, isnād provides a framework for tracing transmission and evaluating the reliability of reports through established critical procedures. However, isnād should not be reduced to a symbolic expression of scholarly prestige or treated as a sufficient guarantee of the correctness of every claim. It operates within a broader intellectual tradition involving textual criticism, contextual interpretation, methodological evaluation, and the distinction between transmission and understanding. Similarly, scholarly competence cannot be reduced to a genealogy of teachers; it also requires interpretive ability, knowledge of disagreement, disciplined reasoning, and responsibility for the consequences of religious judgments.
The absence of a traditional isnād does not automatically render every AI-generated statement false. Nevertheless, AI cannot simply be assumed to possess the scholarly standing traditionally associated with qualified interpreters of Islamic law. Its outputs must be evaluated according to their evidence, methodological adequacy, and suitability for the question being addressed. This distinction allows us to avoid two equally problematic positions: the uncritical celebration of technological capability and the assumption that traditional scholarly authority guarantees infallibility.
A more precise analysis must distinguish among three dimensions that are frequently conflated in contemporary discussions: the accuracy of information, the validity of reasoning, and the legitimacy of scholarly authority. An AI system may generate a factually accurate statement without demonstrating understanding in the human scholarly sense. It may reproduce an authentic text without adequately explaining its interpretive implications. It may assist in assembling legal evidence without thereby becoming qualified to issue an independent religious ruling. Conversely, a recognized scholar may reach an erroneous conclusion. Intellectual credibility must therefore rest neither exclusively on the identity of the speaker nor on the technological sophistication of the instrument, but on evidence, method, competence, and the possibility of critical review.
These issues become more consequential within the digital attention economy, where speed and visibility frequently determine which claims reach the public. An AI-generated religious response may circulate widely before its sources are checked, while a nuanced scholarly explanation receives less attention because it requires qualification and sustained reflection. The danger is that accessibility gradually becomes confused with reliability, confidence with competence, and immediate answers with intellectual understanding. The problem is not technological participation itself, but the emergence of uncritical dependence on systems whose limitations users may not recognize.
A responsible approach should therefore neither reject AI simply because it is artificial nor celebrate it merely because it is efficient. AI can make valuable contributions to Islamic scholarship by facilitating manuscript discovery, comparing textual variants, organizing references, and expanding access to classical literature. Yet these functions do not automatically confer the authority to issue religious judgments or establish independent interpretive legitimacy. Supporting the production and examination of knowledge is fundamentally different from possessing the qualifications and accountability associated with authoritative religious interpretation.
The decisive question is no longer whether artificial intelligence can speak about Islam; it demonstrably can. The more important question is whether individuals and institutions can distinguish apparently scholarly language from claims whose validity has been adequately established. Can technological tools be employed without transferring to them the human responsibility to distinguish evidence from assertion, reliable conclusions from mistaken ones, and informational assistance from religious judgment?
The fundamental danger is not merely that artificial intelligence might replace religious scholars, but that society may gradually mistake the appearance of knowledge for the legitimacy of scholarly authority. When linguistic fluency becomes a proxy for competence, computational speed displaces verification, and informational abundance is mistaken for understanding, the resulting crisis concerns not technology alone but the meaning of knowledge itself.
The future of Islamic scholarship in the age of artificial intelligence does not require closing the door to technological innovation. It requires ensuring that technological convenience does not close the door to critical inquiry. AI may facilitate access to religious texts, but it should not eliminate the obligation to examine their meanings. It may formulate answers, but it should not remove the responsibility to verify them. Ultimately, scholarly credibility depends not simply on the ability to speak in the name of knowledge, but on the capacity to substantiate claims with evidence and accept responsibility for the conclusions drawn.
The views expressed in this article are solely those of the author and do not necessarily reflect the views of The Opinion Desk.