AI Based Framework for Government Oversight of Personal Data Consent Compliance A Case Study Of Nairobi County

Abstract

In the rapidly evolving digital landscape, protecting individual privacy and ensuring compliance with personal data regulations have become critical priorities. This study addresses the growing challenge of insufficient government oversight in monitoring real time compliance with personal data consent, with a focus on Nairobi County as a case study. It introduces an AI-based framework designed to automate the detection of privacy breaches, verify adherence to consent agreements, and strengthen regulatory enforcement processes. Grounded in regulatory compliance theory, the research aims to enhance the capacity of oversight bodies by utilizing AI technology to analyze vast datasets, improving the speed, accuracy, and efficiency of compliance monitoring. A mixed-methods research design was adopted, integrating both qualitative and quantitative approaches. Key stakeholders from prominent organizations such as Safaricom PLC, the Kenya Revenue Authority, Equity Bank Kenya, the Ministry of Information, Communications, and Technology (ICT), and the United Nations Office at Nairobi (UNON) were engaged. Data was collected through semi-structured questionnaires and in-depth interviews with government regulators and private sector representatives responsible for managing personal data. A purposive sampling method was employed, selecting 195 respondents to ensure a comprehensive and representative dataset. Data analysis involved thematic analysis for qualitative data and statistical techniques for quantitative data. Findings indicate that the AI-based framework significantly improves the detection and prevention of data privacy violations, optimizes compliance processes, and reduces reliance on manual oversight. Enhanced governance structures and heightened user awareness emerged as crucial factors in promoting better compliance. However, challenges such as regulatory adaptation and limited resources were identified. The study concludes that AI holds transformative potential for government oversight by increasing transparency, accountability, and operational efficiency. It recommends that regulatory bodies, particularly the Ministry of ICT, adopt AI-driven solutions and foster public-private partnerships to ensure effective, comprehensive data governance. This approach is vital for addressing emerging privacy challenges in a data-driven world