What are the types of algorithmic bias?

What are the different types of algorithmic bias?

Algorithmic bias can be categorized into several types, including sample bias, prejudice bias, measurement bias, and exclusion bias.

Can you explain sample bias?

Sample bias occurs when the data used to train an algorithm is not representative of the broader population, leading to skewed results.

What about prejudice bias?

Prejudice bias happens when the algorithm reflects existing societal biases, often due to biased training data.

How can we mitigate these biases?

Mitigating biases involves using diverse datasets, regular audits, and implementing fairness-aware algorithms.