| dc.description.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 | en_US |
