Importance of AI Effectiveness in PMER Processes to Mitigate the Risk of Accuracy and Reliability of Reporting

Authors : Ahmet Efe

Pages : 45-60

Doi:10.26650/MED.1651789

View : 22 | Download : 25

Publication Date : 2025-08-27

Article Type : Research Paper

Abstract :The increasing complexity and volume of data in Planning, Monitoring, Evaluation, and Reporting (PMER) processes present significant challenges in ensuring the accuracy and reliability of data and information. In risk-sensitive sectors such as humanitarian aid, finance, and governance, erroneous or inconsistent PMER reporting can lead to severe reputational, f inancial, and operational risks. Artificial Intelligence (AI) has emerged as a transformative tool for enhancing PMER by automating data collection, refining analytical capabilities, and minimising human errors. However, the effectiveness of AI in mitigating the risks associated with data accuracy and reporting reliability remains an area of concern. AI-driven systems, while promising, are susceptible to bias, misinterpretation, and ethical dilemmas, which may compromise the integrity of f inancial and narrative reporting. This study examines the extent to which AI can enhance the accuracy and reliability of PMER, identifies the potential risks associated with AI-driven PMER solutions, and evaluates the mechanisms to ensure AI effectiveness. Through a critical review of the existing literature, case studies, and expert insights, this research aims to bridge the knowledge gap in AI’s role in risk-informed decision-making within PMER. The findings will contribute to a deeper understanding of the best practices for AI integration, ensuring that AI-driven PMER systems remain transparent, accountable, and ethically sound. JEL Classification : D81 , G32 , M48 , O33 , O38
Keywords : Yapay Zeka, PMER, Doğruluk ve Güvenilirlik

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