Study: Loan officers often avoid AI explanations that could reveal bias in lending decisions
By
Ben Rand
Summary
Harvard Business School research by Professor Alex Chan finds that in an AI-assisted loan-approval experiment, participants acting as lending officers often chose not to see explanations for why an AI system flagged certain borrowers as riskier, even when those explanations could reveal whether race or gender influenced the decision. The research suggests that decision-makers may avoid algorithmic transparency when it could cause moral discomfort or conflict with their financial interests.
Source
bskyStudy: Loan officers often avoid AI explanations that could reveal bias in lending decisionszurl.coKey quotes
· 3 pulledUnlike students taking a high school math exam, black-box AI systems aren't required to show their work when answering high-stakes questions.
In an AI-assisted loan-approval experiment, participants acting as lending officers reviewing real $10,000 loan requests often chose not to know why an AI system flagged one borrower as riskier than another.
People increasingly trust AI to make decisions—but research by Alex Chan finds they're less eager to look closer at the algorithm's rationale if it causes moral discomfort.
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