Connected Intelligence for Public Finance and Fiscal Governance
DOI:
https://doi.org/10.63503/aisem.56Keywords:
Public-Finance, Fiscal-Policy, government-policy, Artificial-Intelligence, FintechAbstract
The digital transformation of the public finance and fiscal governance would be occurring through a connected intelligence system comprised of artificial intelligence (AI), big data, digital finance, fintech and interworking governance platforms. This paper explains how linked intelligence can be used to increase fiscal governance to make transparency, accountability, efficiency and predictive decisions. The financial governance debate of Bangladesh, connected intelligence definitely plays a part in revisiting the literature of connected governance, AI-based financial management and public financial management (PFM) systems. Following the qualitative approach, the paper examines different projects in AI and digital finance to enhance budgeting, fiscal surveillance and policy evaluation. The result showed that connected intelligence enhances the strength of governance in the world through the use of real time data analytics, fiscal transparency and institutional interaction. However, certain potential obstacles and issues may be encountered including the issues of data privacy, technological inequity, and institutional resistance. The responsive policy environments, capacity development and ethical governance measures will be necessary to take full advantage of all the power of linked intelligence to public finance
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