AI Research Summary
Before Human ReviewBased on abstract · Full text not reviewed
This abstract-based summary is not of the full academic paper, but only of the abstract. The authors view AI and big data not as mere technical efficiency tools in Islamic fintech, but as a governance process, and critically examine their impact on Sharia compliance, ethical governance, and institutional legitimacy. Based on the literature reviewed, they suggest that algorithmic transparency, ethical principles, digital Sharia auditing, and data privacy are important for institutional trust and sustainability.
Key Points from the Abstract
- Algorithmic transparency and ethical principles are presented as core to institutional trust.
- Digital Sharia auditing and data privacy are linked to Sharia compliance and legitimacy.
- Algorithmic transparency is proposed as a potential mediator between technical inputs and trust.
Relevance to AI Law and Policy
By presenting frameworks for religious norm compliance, ethical governance, and trust formation in AI and big data, this can be used as a reference for regulatory and policy design.
Limitations to Consider
- Only the abstract was provided, so the full text could not be reviewed.
- The relationships presented are verifiable theoretical propositions, not causal findings.
- No separate limitations are specified in the abstract, so additional limitations cannot be confirmed.
Please compare with the original text before citing or using it in your assessment.
Abstract Preview
Purpose This study aims to examine Islamic FinTech transformation as a governance process, not only…Read more in the abstract and original text Research Topic
Original text and source
The use of artificial intelligence and big data in the Islamic FinTech ecosystem: opportunities, risks and a governance perspective
The Korean title on this page was translated by AI.- Database
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