What are some examples of AI bias in feedback systems?
AI bias in feedback systems can manifest in various ways, such as biased training data leading to unfair evaluations.
Can you give me a specific example?
Sure! For instance, if a hiring algorithm is trained on data from a company that historically favored one demographic, it may unfairly rate candidates from other demographics lower.
How can we mitigate these biases?
Mitigating biases involves using diverse training data, regularly auditing algorithms, and implementing fairness-aware techniques.
Are there any real-world cases of this happening?
Yes, there have been cases like the Amazon hiring tool that was found to be biased against women, leading to its discontinuation.
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