Federated Artificial Intelligence for Unified Credit Assessment

• URL: http://arxiv.org/abs/2105.09484v1
• Date: Thu, 20 May 2021 03:05:42 GMT
• Title: Federated Artificial Intelligence for Unified Credit Assessment
• Authors: Minh-Duc Hoang, Linh Le, Anh-Tuan Nguyen, Trang Le and Hoang D. Nguyen
• Abstract summary: Digital footprints have become ubiquitous and versatile to revolutionise the financial industry in digital transformation. We conceptualised digital human representation which consists of social, contextual, financial and technological dimensions. A federated artificial intelligence platform is proposed with a comprehensive set of system design for efficient and effective credit scoring.
• Score: 4.634995024383368
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: With the rapid adoption of Internet technologies, digital footprints have become ubiquitous and versatile to revolutionise the financial industry in digital transformation. This paper takes initiatives to investigate a new paradigm of the unified credit assessment with the use of federated artificial intelligence. We conceptualised digital human representation which consists of social, contextual, financial and technological dimensions to assess the commercial creditworthiness and social reputation of both banked and unbanked individuals. A federated artificial intelligence platform is proposed with a comprehensive set of system design for efficient and effective credit scoring. The study considerably contributes to the cumulative development of financial intelligence and social computing. It also provides a number of implications for academic bodies, practitioners, and developers of financial technologies.

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