AI Readiness Metrics in Public Sector Organizations: Zimbabwe Organizations Case Study Africa

Abstract

This paper explores Zimbabwe’s public sector AI readiness and preparedness. There is an urgent need to find out the drivers of preparedness since AI is becoming more mainstream in the hands of governments in an attempt to increase governance and service delivery. The methods that the authors use are a combination of mixed approaches that include quantitative surveys of different organizations operating in the public sector and qualitative interviews with some of the stakeholders in the area of focus. The key elements of AI preparation such as skills of the work force, organizational culture, data and technological infrastructure are defined and measured by authors in quantifiable terms. The results indicate that the degree of preparedness in the firms has considerable differences that can be attributed to a combination of diverse factors including the opportunity to train and resource allocation. The research paper provides the urgent need of the customized plans of optimizing the AI application in the state sector in Zimbabwe. In addition to equipping policymakers and government administrators with operational knowledge enabled to achieve innovation and enhance governance, this study may be applied to create successful implementation strategies of AI, since the study may offer an effective metrics framework. Finally, to make sure that the AI technology could be successfully adopted by the public sector organizations to promote the services delivery and communication with citizens, AI Metrics on public sectors as recommended by the authors.