Reporting and improved efficiency through artificial intelligence

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Abstract

This paper examines the use of artificial intelligence (AI) to improve the reporting and administration efficiency of the National Recovery and Resilience Plan (NRRP). Focused on a performance-based financing model, it shifts from tracking expenses to achieving tangible results. AI automates data collection and analysis, detects fraud and ensures regulatory compliance, thus improving transparency and effectiveness. It also addresses challenges like maintaining data quality and clear decision-making using AI, highlighting the need for appropriate regulatory frameworks. This study will deepen the understanding of technology adoption in the public sector and offer insights into using AI to modernize public administrations and optimize control processes.

Keywords: Artificial Intelligence, Performance Monitoring, Administrative Reporting

Authors’ individual contribution: Conceptualization — A.M.G. and U.C.; Methodology — A.M.G. and U.C.; Software — A.M.G.; Validation — A.M.G.; Formal Analysis — A.M.G.; Investigation — A.M.G. and U.C.; Resources — A.M.G.; Data Curation — A.M.G.; Writing — Original Draft — A.M.G.; Writing — Review & Editing — A.M.G. and U.C.; Visualization — A.M.G. and U.C.; Supervision — U.C.; Project Administration — A.M.G. and U.C.

Declaration of conflicting interests: The Authors declare that there is no conflict of interest.

JEL Classification: H00, M21, M3, M41, M5, O1, O3

Received: 05.07.2024
Accepted: 31.10.2024
Published online: 04.11.2024

How to cite this paper: Gallo, A. M., & Comite, U. (2024). Reporting and improved efficiency through artificial intelligence. Reporting and Accountability Review, 1(1), 18–24. https://doi.org/10.22495/rarv1i1p2