The promise of artificial intelligence in combating public corruption in the emerging economies: A conceptual framework

Henry Adobor and Robert Yawson ()

Science and Public Policy, 2023, vol. 50, issue 3, 355-370

Abstract: In this conceptual paper, we explore how artificial intelligence (AI) holds promise as an important and additional tool for combating corruption in public procurement in emerging economies. We aim to extend the understanding of how the emergent technology of AI may be another important tool in the fight against corruption in emerging economies. We discuss how AI and related emergent technologies can help build greater accountability and transparency regimes in public procurement, a key source of public corruption. We argue that there are infrastructural, social, ethical, and political challenges to the successful use of emerging technologies of AI in the fight against public corruption. We make inferences from the discussion and provide some tentative guidelines for policymakers. We suggest that using AI as part of a program of institutional reforms in the public sector would increase technology’s role and contributions to the fight against systemic corruption in public procurement in emerging economies.

Keywords: artificial intelligence; public procurement; accountability; transparency (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:oup:scippl:v:50:y:2023:i:3:p:355-370.

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