UN Technology Bank and KAUST conclude AI leadership programme for Least Developed Countries

By: Nana Appiah Acquaye

The United Nations Technology Bank for the Least Developed Countries, in partnership with King Abdullah University of Science and Technology, has concluded a high-level leadership programme aimed at strengthening artificial intelligence capacity among policymakers from Least Developed Countries.

The initiative, titled “AI for Impact: Training Leaders in LDCs,” brought together 26 senior policymakers from seven Least Developed Countries for an intensive training focused on leveraging AI for sustainable development.

According to the organisers, the programme was designed to enhance participants’ understanding of the artificial intelligence value chain while equipping them with practical tools for policy design and strategic planning. The curriculum incorporated established analytical models, including the Laurentys Framework and OECD/Cambridge approaches, alongside sessions addressing data governance, ethics, privacy, and security.

Participants also examined infrastructure limitations and capacity constraints commonly faced by Least Developed Countries, with discussions centred on how AI can be deployed effectively within these contexts. The programme featured practice-oriented learning, enabling delegates to develop country-level use cases and policy recommendations aligned with national priorities.

Deliberations explored real-world applications of AI across sectors such as healthcare, education, governance, agriculture, energy, infrastructure, and climate action. Organisers emphasised that the training positioned artificial intelligence as a practical development tool rather than a purely technological concept.

The United Nations Technology Bank noted that the programme placed particular emphasis on leadership, aiming to empower decision-makers to shape responsible and inclusive AI ecosystems. With the conclusion of the training, participants are expected to advance national strategies and initiatives informed by the knowledge and networks established during the programme.