What are some examples of AI bias in banking?
AI bias in banking can manifest in various ways, such as loan approval algorithms favoring certain demographics over others.
Can you give me a specific example of this bias?
Sure! For instance, a study found that an AI system used for credit scoring was less likely to approve loans for applicants from minority groups, even with similar financial backgrounds.
What are the consequences of such biases?
The consequences can include unequal access to financial services, perpetuation of economic disparities, and loss of trust in banking institutions.
How can banks mitigate AI bias?
Banks can mitigate AI bias by regularly auditing their algorithms, using diverse training data, and implementing fairness guidelines.
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