Artificial Intelligence, Machine Learning, and Bias in Finance: Toward Responsible Innovation

According to some futurists, financial markets’ automation will substitute increasingly sophisticated, objective, analytical, model-based assessments of, for example, a borrower’s creditworthiness for direct human evaluations irrevocably tainted by bias and subject to the cognitive limits of the human brain. However, even if they do occur, such advances may violate other legal principles.

Focus: AI Ethics/Policy
Source: Fordham Law Review
Redability: Expert
Type: PDF Article
Open Source: No
Keywords: N/A
Learn Tags: Bias Business Data Collection/Data Set Ethics Fairness Government Machine Learning
Summary: A financial law article showing the regulation challenges of consumer data algorithms in commerce.