By Professor Albert Sanchez-Graells, Professor of Economic Law and Co-Director of the Centre for Global Law and Innovation (University of Bristol Law School)
Preventing, detecting, and sanctioning corruption in public procurement is one of the main goals of all systems of regulation applicable to the expenditure of public funds via contract (see eg Williams-Elegbe, 2012). Despite constant and regularly renewed efforts to fight procurement corruption at an international (such as the UN Convention against Corruption, or the 2016 OECD’s Preventing Corruption in Public Procurement report) and domestic level (see eg the UK’s 2020 ‘Local government procurement: fraud and corruption risk review’), corruption remains a pervasive problem in any given jurisdiction. Of course, there are different forms and degrees of corruption infiltration in different procurement systems but – if any evidence was needed that no system is corruption-free – pandemic-related procurement served as a clear reminder that this is the case (see eg Transparency International, 2021; as well as Good Law Project v Cabinet Office [2021] EWHC 1569 (TCC)). It should then not be surprising that the possibility that artificial intelligence (AI) could ‘change the rules of the game’ (eg Santiso, 2019) and bring procurement corruption to an end is receiving significant attention. In a recent paper*, I critically assess the contribution that AI can make to anti-corruption efforts in the public procurement context and find that, while it could make a positive incremental contribution, it will not transform this area of regulation and, in any case, AI’s potential is significantly constrained by existing data architectures and due process requirements. (more…)