Credit: Mr. Bill Kowaski – My Teacher
Case Study based in Canada
This repository contains a case study analyzing ethical concerns in an automated User Loan System.
The study explores how algorithmic decision-making in financial institutions may unintentionally reproduce human or systemic biases, affecting users applying for business loans.
To examine how a simple loan-approval algorithm can raise six major ethical concerns:
- Inconclusive Evidence
- Inscrutable Evidence
- Misguided Evidence
- Unfair Outcomes
- Transformative Effects
- Traceability
Each concern is mapped to its real-world implication within financial lending processes.