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The increasing deployment of artificial intelligence (AI) powered solutions for the public sector is hoped to change how developing countries deliver services in key sectors such as agriculture, healthcare, education, and social sectors. And yet AI has a high potential for abuse and creates risks, which if not managed and monitored will jeopardize respect and dignity of the most vulnerable in society. In this study, we argue for delineating public procurements’ role in the human-centred AI (HCAI) discourses, focusing on the developing countries. The study is based on an exploratory inquiry and gathered data among procurement practitioners in Uganda and Kenya, which have similar country procurement regimes: where traditional forms of competition in procurement apply compared to more recent pre-commercial procurement mechanisms that suit AI procurement. We found limited customization in AI technologies, a lack of developed governance frameworks, and little knowledge and distinction between AI procurement and other typical technology procurement processes. We proposed a framework, which in absence of good legal frameworks can allow procurement professionals to embed HCAI principles in AI procurement processes.
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Stored only when both papers are in the corpus — 47 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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