Federated Artificial Intelligence for Unified Credit Assessment
This addresses credit scoring challenges in the financial industry, particularly for unbanked populations, but appears incremental as it builds on existing federated AI concepts.
The paper tackles the problem of unified credit assessment for banked and unbanked individuals by proposing a federated AI platform with digital human representation across social, contextual, financial, and technological dimensions, resulting in a system designed for efficient and effective credit scoring.
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.