<![CDATA[The use of Artificial Intelligence (AI) in the banking sector enhances operational efficiency, the accuracy of decision-making, and the quality of customer services. However, AI’s reliance on large-scale data processing creates risks to personal data protection and privacy. This study analyses policies governing the implementation of AI in the banking sector by examining regulatory frameworks, data governance, and information security. It employs a qualitative method with a juridical-normative approach through an analysis of laws and regulations, financial-sector policies, and AI implementation practices in banking. The findings reveal a gap between the existing legal framework and its implementation. Although Indonesia has enacted the Personal Data Protection Law and sectoral regulations issued by the Financial Services Authority and Bank Indonesia, transparency, accountability, and AI risk controls have not been adequately implemented. The primary risks include excessive data collection, the use of data beyond its original purpose, algorithmic bias, and violations of data subjects’ rights in automated decision-making systems. Limited human resource capabilities and weak AI governance further increase legal and reputational risks for banking institutions. This study recommends strengthening AI governance based on the principles of privacy by design, data minimization, and accountability, supported by the harmonization of national regulations with international standards. The implementation of AI in the banking sector must balance technological efficiency with the protection of customers’ privacy rights.]]>
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