Scholarly investigation outlines how AI-driven governance reduces corruption and improves public trust.
In contemporary society, the integration of new technologies into governance practices has emerged as a critical concern, often referred to as Smart Governance. This concept represents a modernised approach to political processes, management, and public administration, heavily reliant on artificial intelligence technologies that serve as guiding principles for governmental strategies. The current scholarly investigation aims to articulate an optimal model for governance. The prevalence of corruption, opacity, lack of accountability, and unfair policies among leaders and authorities fosters societal distrust. To mitigate potential societal harm, a transition towards artificial intelligence-driven governance is advocated. By implementing artificial intelligence technologies, the likelihood of corruption is reduced, as AI operates within a framework devoid of loopholes that corrupt individuals exploit. Thus, shifting towards intelligent governance not only combats corruption but also serves as a barrier against the emergence and propagation of corrupt practices.
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Chaijani et al. (2026) studied this question.