Abdellah EL MEKKI

My research tackles the digital divide in AI, where under-represented communities are often excluded due to systems prioritizing dominant languages and cultures. We focus on making Large Language Models (LLMs) accessible and relevant by considering the unique linguistic, cultural, and ethical frameworks of these groups.

Currently, we are adapting LLMs for diverse local languages, moving beyond rich resourced languages to incorporate specific linguistic features and embed cultural sensitivities. This involves fine-tuning models with local languages data and co-designing evaluations with native speakers to ensure the AI is accurate, appropriate, and truly beneficial from the community's perspective.

The ultimate goal is to foster digital inclusivity, empowering these communities with AI tools that resonate with their identity. We believe our work with low-resourced languages can offer a valuable framework for adapting LLMs to specific local needs, contributing to a more equitable global AI landscape.