Mr. Muhammad Usman is a TEDx speaker, self-taught AI engineer, and a leading advocate for ethical and community-driven technology. As the AI Integration Lead at Embedded LLM, he specialises in designing and implementing open-source AI solutions that empower organisations and local communities. With deep expertise in both finance and artificial intelligence, Mr. Usman champions the concept of “Sovereign AI,” driving initiatives that enable communities to shape and benefit from AI technologies on their own terms.

In his upcoming talk, “AI Beyond LLM Training: Building Infrastructure Around LLMs,” Mr. Usman will explore the critical concept of Community-Centric Sovereign AI, focusing on empowering local communities to control and benefit from AI technologies. The session will delve into key areas such as data governance models that prioritise privacy and local control, the development of open-source frameworks for localised AI infrastructure, and the establishment of robust ethical AI principles to ensure trustworthy and equitable deployment. Looking beyond LLM training and fine-tuning, the talk will highlight the many other essential components needed to build resilient AI ecosystems.

Furthermore, Mr. Usman will discuss strategies for protecting community interests by mitigating algorithmic bias, strengthening cybersecurity, and preventing “AI colonialism”. The session will also examine approaches for fostering local control and decision-making through decentralised AI architectures, community-led development initiatives, and economic models that ensure AI’s value remains within the community. The goal is to provide a comprehensive understanding of how communities can harness AI as a tool for self-determination and sustainable development.