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) |
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Creators: | Creators NIM Email ORCID Atmadjaja, Hans Samuel 01051190043 hansatmadjaja@gmail.com UNSPECIFIED |
Contributors: | Contribution Contributors NIDN/NIDK Email Thesis advisor Shalmont, Jerry NIDN0305108802 jshalmont@gmail.com Thesis advisor Sinaga, Irene NIDN0306069502 irene.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 |