Buying Safety: A Model AI Procurement Standard for African Public Sectors

great job, immediately applicable and actionable, concrete, lovely. Limited by how the country sample is too small and non representative, otherwise very solid

The paper makes an original and actionable contribution by positioning public procurement as a practical governance mechanism for advancing AI safety in African public sectors. The proposed model procurement standard is a particular strength, translating the analysis into a concrete policy tool with clear potential for adaptation across different contexts. The main opportunity for improvement lies in strengthening the evidentiary base beyond statutory analysis. Engaging more directly with implementation realities and enforcement challenges would give the argument greater empirical grounding. The paper would also benefit from a clearer account of how the proposed procurement mechanisms would translate into measurable AI safety outcomes across the diverse institutional and regulatory environments found across Africa.

I appreciated the angle this project took towards assessing a real AI safety concern (govt procurement of AI systems) and the actual regulatory gaps that exist in relation to the procurement of such systems. The project is also looking to address a challenge that has been identified as continental in nature and so its potential impact (at least in the sense of creating awareness of the gaps) may be widespread. One additional question I had relates to whether the author considered any other legislation (other than POPIA, etc) that may also regulate procurement of tech and whether any of these may alter the results.

This is a very strong project with a clear and actionable theory of change: using public procurement as an immediate governance lever for AI safety in African public sectors. The contribution is innovative not because procurement is entirely new, but because the project translates it into a practical, risk-tiered model standard adapted to African deployment constraints such as local-language failure, data dependency, capacity gaps, and foreign-trained models. The execution is strong for a weekend hackathon, with a clear safeguard taxonomy, comparative coding across four countries, and a concrete standard that could be used or tested in future policy work. The report is especially clear and well structured, moving effectively from problem diagnosis to gap analysis to implementable clauses, while also acknowledging limitations and dual-use risks.