Lenders can reduce the impact of human bias on credit decisioning by building standardized, repeatable and observable processes facilitated by machines. While there’s still value in human interactions, machines are better at ensuring fairness and auditability. You can’t see inside a human mortgage underwriter’s brain, but a computer’s memory leaves a clear trail, making bias easier to measure and safeguard against.
Tag: David Snitkof
David Snitkof: 3 Ways to Use Technology to Reduce Bias in Mortgage Underwriting
Lenders can reduce the impact of human bias on credit decisioning by building standardized, repeatable and observable processes facilitated by machines. While there’s still value in human interactions, machines are better at ensuring fairness and auditability. You can’t see inside a human mortgage underwriter’s brain, but a computer’s memory leaves a clear trail, making bias easier to measure and safeguard against.
David Snitkof: 3 Ways to Use Technology to Reduce Bias in Mortgage Underwriting
Lenders can reduce the impact of human bias on credit decisioning by building standardized, repeatable and observable processes facilitated by machines. While there’s still value in human interactions, machines are better at ensuring fairness and auditability. You can’t see inside a human mortgage underwriter’s brain, but a computer’s memory leaves a clear trail, making bias easier to measure and safeguard against.
David Snitkof: 3 Ways to Use Technology to Reduce Bias in Mortgage Underwriting
Lenders can reduce the impact of human bias on credit decisioning by building standardized, repeatable and observable processes facilitated by machines. While there’s still value in human interactions, machines are better at ensuring fairness and auditability. You can’t see inside a human mortgage underwriter’s brain, but a computer’s memory leaves a clear trail, making bias easier to measure and safeguard against.