Tinjauan yuridis terhadap penggunaan artificial intelligence dalam sistem electronic-know your customer (e-kyc) pada platform peer-to-peer lending di Indonesia

Atmadjaja, Hans Samuel (2022) Tinjauan yuridis terhadap penggunaan artificial intelligence dalam sistem electronic-know your customer (e-kyc) pada platform peer-to-peer lending di Indonesia. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Law Number 10 of 2022 of the Service Authority Regulation concerning Information Technology-Based Joint Funding Services (POJK No. 10 /2022) does indeed provide certainty, benefits, and obligations in terms of organizing funding activities using a legal peer-to-peer lending platform that has obtained a permit from the Financial Services Authority. However, POJK No. 10/2022 is less able to mitigate the risk of default on the approval party. Peer-to-peer lending activities rely on artificial intelligence technology for the credit scoring system of parties involved in the e-KYC system imposed by the organizers. One of the author's research focuses is the implementation of artificial intelligence in the credit scoring system of the e-KYC process related to funding activities in peer-to-peer lending. E-KYC is a customer recognition process that uses a combination of personal data and biometric data that is integrated with an electronic system. The data is processed using the help of artificial intelligence technology so that it tests a person's eligibility and ability to pay off his loan. Implementation regarding artificial intelligence and e-KYC has not been regulated in terms of POJK No. 10/2022 raises questions regarding the position of artificial intelligence in peer-to-peer lending considering that artificial intelligence technology has been widely used by peer-to-peer lending providers. Matters related to the regulation of the implementation of artificial intelligence are listed in PP No.71/2019 and regulations regarding e-KYC and credit scoring are listed in POJK No.13/2018. The existence of agreements and differences legally concludes that there is a legal agreement in terms of regulation of AI and e-KYC in funding activities in peer-to-peer lending which in accordance with POJK No. 10/2022. Therefore, the author tries to dissect the regulations regarding artificial intelligence and e-KYC in conjunction with the legal basis of P2P Lending to provide legal certainty to minimize the number of people who fail to pay their loans in Indonesia.

Item Type: Thesis (Bachelor)
Creators:
CreatorsNIMEmail
Atmadjaja, Hans Samuel01051190043hansatmadjaja@gmail.com
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorShalmont, JerryNIDN0305108802jshalmont@gmail.com
Thesis advisorSinaga, IreneNIDN0306069502irene.sinaga@uph.edu
Uncontrolled Keywords: peer-to-peer lending, e-kyc, credit scoring
Subjects: K Law > K Law (General)
Divisions: University Subject > Current > Faculty/School - UPH Karawaci > Faculty of Law > Law
Current > Faculty/School - UPH Karawaci > Faculty of Law > Law
Depositing User: Hans Samuel
Date Deposited: 18 Jan 2023 04:56
Last Modified: 18 Jan 2023 04:56
URI: http://repository.uph.edu/id/eprint/52664

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