Impact of Dynamic Compliance Framework on the Integration and Application of Generative Artificial Intelligence in Financial Regulatory Technology (Regtech), Tanzania

Davis Festo Matari
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Davis Festo Matari: Current study (PHD student in Business Management, DBA, Yanshan University

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 4, 880-886

Abstract: This study investigates the impact of dynamic compliance frameworks on the integration and application of Generative Artificial Intelligence within financial regulatory technology (RegTech) in Tanzania. Through a mixed-methods approach comprising literature review, case studies, and expert interviews, the research assesses the potential benefits, challenges, and regulatory considerations associated with leveraging dynamic compliance frameworks and Generative AI in the Tanzanian financial landscape. The findings highlight the transformative role of dynamic compliance frameworks in enhancing regulatory efficiency, improving risk management, and fostering innovation in financial regulation. The study concludes with recommendations for policymakers, regulators, and industry stakeholders to promote the responsible and effective adoption of Generative Artificial Intelligence in financial regulatory technology in Tanzania.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:8:y:2024:i:4:p:880-886

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