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All Journal International Journal of Social Service and Research
Fernando, Agung
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Utilization of AI in Optimizing the Legislative Oversight Function Innovation to Increase Government Transparency and Accountability in the Digital Era Fernando, Agung; Fakrulloh, Zudan Arief
International Journal of Social Service and Research Vol. 5 No. 6 (2025): International Journal of Social Service and Research
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/ijssr.v5i6.1253

Abstract

The digital era presents both challenges and opportunities for the oversight function of the Indonesian House of Representatives (DPR RI). The complexity of government and increasing data volumes demand innovation in oversight mechanisms. This qualitative research, based on secondary data analysis from academic journals, government reports, international organization publications, and other relevant sources, explores the potential for utilizing Artificial Intelligence (AI) to optimize the legislative oversight function and improve the transparency and accountability of the Indonesian government. The results of the analysis show that AI can be applied in various areas of oversight, such as budget analysis, monitoring the implementation of laws and policies, and managing public aspirations, through technologies such as Natural Language Processing and Machine Learning. The use of AI has the potential to strengthen the DPR's analytical capacity, encourage evidence-based accountability, and improve access to information. However, its implementation faces significant challenges, including the risk of algorithmic bias, data privacy and security issues, issues of transparency (explainability) and accountability of algorithms, and capacity and infrastructure gaps. A comprehensive AI regulatory and governance framework, infrastructure and capacity investment, and an ethical and responsible implementation approach are needed, while still ensuring the central role of humans in the oversight process.
Co-Authors Fakrulloh, Zudan Arief