This is particularly pressing in developing countries where young people often lack job-ready skills and Al platforms, tools, and applications are scarce. In the least developed countries (LDCs), a lack of mass digitalization and low penetration of broadband mean there is insufficient data for machine learning and deep learning. There is also a lack of transparency in the use of education data to ensure algorithmic accountability, privacy and data transparency.