Speculative Design: Credere

Reimagining the future of money: Credit score evaluations are calculated by algorithms with slight bias’ to it’s data set. Studies have found that predictive tools are between 5% and 10% less accurate for minority borrowers and low-income families compared to higher income and non-minority groups. Solution Alongside the fall in these predictive tools, the data for people with limited credit files were harder to assess for creditworthiness. This means credit scores were less accurate overall. Credere asses more than the numbers, but people as individuals. As a Credit Union, Credere is to give back to our members through support, education and dividends. Giving all members an equal chance to apply for short-term loans, debit and credit accounts. What Credere aims to provide a fair and humanity-based credit-scoring model. Using a combination of algorithm and personal reference data. Credere allows you and others to rate each other based on good deeds and favours.