Summary:
- The article discusses how AI algorithms used in mortgage lending are perpetuating historic biases, leading to discrimination against minority borrowers.
- Researchers found that AI models trained on past lending data replicate and amplify biases present in that data, resulting in people of color being less likely to receive mortgage approvals or favorable loan terms.
- The article highlights the need for greater transparency and accountability in the use of AI in financial decision-making, as well as the importance of addressing the underlying biases in the data used to train these models.