Summary
This white paper presents Block's innovative approach to expanding access to credit while managing associated risks. It outlines the limitations of the traditional credit system, which often excludes significant segments of the population from affordable credit opportunities. Block aims to address these issues by leveraging near real-time data and machine learning to create a more inclusive credit assessment process. The document details how the existing credit models are inadequate, relying on outdated data that fails to accurately reflect consumers' financial behaviors. It highlights the challenges faced by individuals and small businesses, particularly those from underserved communities, in accessing credit. Furthermore, the paper discusses Block's commitment to building a better credit system that not only evaluates who qualifies for loans but also promotes economic mobility and security for all. By documenting the impact of its approach, Block illustrates the potential for a fairer and more responsive credit environment.
