Preparing Public Agencies for Harnessing AI: A Study on Variables Shaping Multi Actor Information Infrastructures

While governments around the world are seeking to harness the power of artificial intelligence (AI), attaining high-quality information as input for training AI-models remains a major challenge. Policymakers looking to boost AI readiness in the public sector need high quality multi-actor Information infrastructures (MAIIs) to obtain high-quality information. It is unclear which fundamental decisions can be made to shape information-sharing infrastructures for governmental purposes, even though there is some literature on these infrastructures. The main goal of this paper is to identify key variables for shaping MAIIs. Drawing on literature, expert interviews and qualitative data analysis, this paper reveals multiple variables classified into three main categories: (1) information-sharing process, systems, and services, (2) information (format), and (3) governance structures. Findings indicate that considering these variables in an early stage is needed to maximise the benefits and limit the risk of failure in shaping an MAII.