What is algorithm bias in AI?
Algorithm bias refers to systematic and unfair discrimination in AI algorithms, often due to biased training data.
Can you give me an example of algorithm bias?
Sure! A common example is facial recognition software that performs poorly on individuals with darker skin tones due to underrepresentation in training data.
How can we mitigate algorithm bias?
Mitigating algorithm bias involves using diverse datasets, regular audits, and implementing fairness-aware algorithms.
What are the consequences of ignoring algorithm bias?
Ignoring algorithm bias can lead to unfair treatment, reinforce stereotypes, and result in legal and ethical issues.
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