Executive Summary
Consumers have expressed distrust in the financial services industry while also indicating a high degree of trust in their own primary financial services provider. Given the rise in use of alternative data for credit scoring, credit unions have a responsibility to ensure that bias and discrimination do not occur while implementing algorithmic underwriting. With the rapid advancement of technology, the time to build authentic trustworthiness and consider the ethics of algorithmic decision-making is now.
This workshop will help your team understand bias, algorithms, and the negative impact of discrimination, while also providing tools for taking ethical steps toward adopting algorithmic processes.