Artificial Intelligence in the Banking Sector in Indonesia and Its Challenges from a Legal Perspective
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Abstract
This research aims to find out what challenges exist in implementing artificial Intelligence in the banking sector and find answers to how the Law answers these challenges. Methods: This type of research is normative legal research. Secondary data is used as primary data. Data analysis uses qualitative data analysis techniques. The conclusion-drawing technique used is deductive. Result: The research results show that Artificial Intelligence is only one instrument in bank activities. Artificial Intelligence in various forms of implementation in banking institutions demands the Bank's responsibility to ensure that its use does not harm the public as customers.
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References
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