Status : Verified
| Personal Name | Anuta, Benedict H. |
|---|---|
| Resource Title | Artificial Intelligence (AI) adoption for data collection and performance monitoring in the Monitoring Evaluation Accountability and Learning (MEAL) Office in Malabon City Government |
| Date Issued | 28 May 2025 |
| Abstract | This study explores the integration of Artificial Intelligence (AI) into the Monitoring, Evaluation, Accountability, and Learning (MEAL) Office of the Malabon City Government using a structured 10-step scenario planning approach. The study aims to assess how AI can improve data collection, performance monitoring, and decision-making while addressing challenges such as technological infrastructure, AI literacy, funding, and policy support. Through scenario-building, three possible futures were identified: (1) AI-Powered Governance, where AI is fully integrated to streamline MEAL operations; (2) Bridging the Gap, which focuses on strengthening IT infrastructure to support AI-driven initiatives; and (3) AI-Ready Workforce, which prioritizes training MEAL personnel to maximize AI tools. The 10-step scenario planning approach guided the study in identifying the focal issue, determining key variables and critical uncertainties, ranking their importance and uncertainty levels, and developing future scenarios. The process also assessed the implications of each scenario, allowing for a comprehensive evaluation of risks, opportunities, and strategic actions. Findings emphasize that while AI adoption can enhance efficiency and governance transparency, it also raises concerns regarding data security, financial sustainability, and workforce adaptation. This study provides a forward-looking perspective, offering recommendations to ensure a structured and responsible approach to AI integration in MEAL operations. |
| Degree Course | Master of Technology Management |
| Language | English |
| Keyword | Technology foresight, Local government units |
| Material Type | Thesis/Dissertation |
Preliminary Pages
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