On 5 November 2026, Riyadh‑based King Faisal Center for Research and Islamic Studies (KFCRIS) hosted a virtual lecture that examined how artificial intelligence (AI) could translate the Najdi dialect while safeguarding its cultural nuances. The session, a component of UNESCO’s Translating Cultures program, brought together scholars, technologists, and linguistic experts to discuss the intersection of machine translation and local identity. The keynote speaker, Associate Professor Dr. Dana Al‑Suhaim, presented her research on dialectal translation and its implications for cultural preservation. The event was supported by the Literature, Publishing and Translation Commission, underscoring institutional backing for the dialogue.
KFCRIS’s UNESCO Chair in Translating Cultures served as the organizational hub for the lecture, providing a framework that aligns technological innovation with cultural stewardship. Dr. Moneera Al‑Ghadeer, Chairholder of the Chair, opened the session by outlining the broader mandate of the program: to explore how emerging AI tools can reshape the translation landscape while respecting the social and cultural fabric embedded in language. She highlighted that translation now operates at the crossroads of linguistic accuracy, cultural fidelity, technology, and ethics, demanding a reevaluation of traditional practices.
Dr. Dana Al‑Suhaim, an Associate Professor of Translation Studies at Imam Mohammad Ibn Saud Islamic University, drew on her extensive work with regional dialects to underscore that the Najdi dialect functions as more than a linguistic variant; it is a living repository of identity and social memory. She argued that translating dialectal expressions requires not merely lexical substitution but a reconstruction of the underlying meaning that captures the emotional and relational context inherent in everyday speech.
The core of the lecture focused on AI's role in translating the Najdi dialect. Dr. Al‑Suhaim explained that contemporary language models possess pattern‑recognition capabilities that enable them to transform words efficiently. However, these models often lack the contextual awareness needed to preserve the social and cultural layers that distinguish Najdi from Modern Standard Arabic. She stressed that a direct, dictionary‑style translation risks losing the dialect’s unique character and the nuances that signal community identity.
Moderator Dr. Arwa Al‑Mubaddal, an Assistant Professor at King Saud University’s College of Language Sciences, facilitated the dialogue by posing questions about AI’s capacity to grasp localized expressions and metaphors. The discussion highlighted that while AI can manage literal translation tasks with high accuracy, the subtler aspects—such as idiomatic references, humor, and tone—remain difficult for algorithms to interpret without human insight. The participants noted that such nuances are essential for maintaining the authenticity of the source culture during cross‑lingual transfer.
Dr. Al‑Suhaim elaborated on the evaluation criteria needed for machine‑translated dialectal text, stressing metrics that consider both semantic fidelity and cultural congruity. She pointed out that current evaluation frameworks, primarily designed for standard languages, are insufficient for dialects where meaning is often conveyed through non‑lexical cues, regional references, and collective memory. The lecture suggested augmenting machine translation outputs with post‑editing protocols that involve native speakers trained in linguistic anthropology.
UNESCO’s Translating Cultures program, as highlighted by Dr. Al‑Ghadeer, adopts a research‑driven approach to assess how AI can be harnessed responsibly. One initiative under the program encourages the development of adaptive AI models that are fine‑tuned on curated dialect corpora. The goal is to create translation systems that not only reduce errors but also respect socio‑cultural boundaries, ensuring that the essence of the Najdi dialect survives in target languages.
The broader implications of the lecture touch on cultural preservation in an increasingly digital world. Scholars emphasized that AI‑driven translation must transcend mere efficiency, serving as a bridge that promotes cross‑cultural understanding. If successful, such tools could empower minority dialect communities, allowing them to disseminate their literature, oral history, and folklore to a global audience without homogenizing their linguistic identity.
While the discussion concluded with enthusiasm about technological possibilities, participants acknowledged the need for continued interdisciplinary collaboration. The integration of linguistics, computer science, and cultural studies will be vital in refining AI models that can honor the depth of Najdi speech. As KFCRIS and UNESCO’s Translating Cultures program move forward, they aim to produce guidelines and best practices that ensure machine translation supports, rather than erodes, the rich heritage embedded in regional dialects.
