SocialCredit+
Aslam, Thabassum, Aslam, Anees
–arXiv.org Artificial Intelligence
SocialCredit+ is AI powered credit scoring system that leverages publicly available social media data to augment traditional credit evaluation. It uses a conversational banking assistant to gather user consent and fetch public profiles. Multimodal feature extractors analyze posts, bios, images, and friend networks to generate a rich behavioral profile. A specialized Sharia-compliance layer flags any non-halal indicators and prohibited financial behavior based on Islamic ethics. The platform employs a retrieval-augmented generation module: an LLM accesses a domain specific knowledge base to generate clear, text-based explanations for each decision. We describe the end-to-end architecture and data flow, the models used, and system infrastructure. Synthetic scenarios illustrate how social signals translate into credit-score factors. This paper emphasizes conceptual novelty, compliance mechanisms, and practical impact, targeting AI researchers, fintech practitioners, ethical banking jurists, and investors.
arXiv.org Artificial Intelligence
Jun-17-2025
- Country:
- North America > United States > Pennsylvania (0.04)
- Genre:
- Research Report (0.64)
- Industry:
- Banking & Finance > Credit (1.00)
- Information Technology > Security & Privacy (1.00)
- Technology: