Fairness in focus: quantitative insights into bias within machine learning risk evaluations and established credit models
Abstract As the adoption of machine learning algorithms expands across industries, the focus on how these tools can perpetuate existing biases have gained attention. Given the expanding literature in a nascent field, an example of how leading bias indicators could be aggregated and deployed to evalu...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
|
| Series: | Management System Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44176-025-00043-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|