What are some examples of AI bias in finance?
AI bias in finance can manifest in various ways, such as biased credit scoring algorithms or discriminatory lending practices.
Can you explain how biased credit scoring works?
Sure! Biased credit scoring can occur when algorithms use historical data that reflects societal inequalities, leading to unfair assessments.
What impact does this bias have on individuals?
The impact can be significant, as individuals from marginalized groups may be unfairly denied loans or charged higher interest rates.
How can we mitigate AI bias in finance?
Mitigating AI bias involves using diverse training data, regular audits of algorithms, and implementing fairness guidelines.
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