Recently, automated decision‐making (ADM) has been increasingly introduced in for
example, the public sector potentially ensuring efficiency and more just decision‐making …

Problem definition: We use a realistically large, publicly available data set from a global
fintech lender to simulate the impact of different antidiscrimination laws and their …

We randomly assigned consumer loan requests (of random amount and length) to gender-
balanced prospective-borrowers who then randomly submitted them to a representative …

In this article, we give various recommendations to boost the performance of credit risk
models. It is based upon more than two decades of research and consulting on the topic …

Consumer trust projects have formed as a novel business idea to achieve industrial
transformation and upgrade Chinese trust companies (consumer trust projects), and it is of …

Credit ratings are expert systems which assess the likelihood of a borrower to default. The
Basel Accord allows banks to base regulatory capital requirements on the default probability …

Credit scoring has been catalogued by the European Commission and the Executive Office
of the US President as a high-risk classification task, a key concern being the potential …

Problem definition: We use a realistically large, publicly available dataset from a global
fintech lender to simulate the impact of different anti-discrimination laws, and their …

In this study, we examine the complex, deep-rooted issue of fairness using a technical,
historical, and societal lens. We direct our attention to credit scoring as an ideal case study …

Asignamos aleatoriamente solicitudes de créditos de consumo (con monto y plazo
aleatorios) a una muestra balanceada de posibles prestatarios y prestatarias, quienes, de …