What are the different types of bias that can occur in algorithms?
There are several types of bias in algorithms, including selection bias, confirmation bias, and algorithmic bias.
Can you explain what selection bias is?
Selection bias occurs when the data used to train an algorithm is not representative of the overall population.
What about confirmation bias?
Confirmation bias happens when an algorithm favors information that confirms existing beliefs, ignoring contradictory data.
How can we mitigate these biases in algorithms?
Mitigating biases can involve using diverse datasets, regular audits, and implementing fairness-aware algorithms.
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