What is algorithm bias in AI?

What is algorithm bias in AI?

Algorithm bias refers to systematic and unfair discrimination in AI algorithms, often due to biased training data.

How does algorithm bias affect decision-making?

It can lead to unfair outcomes in areas like hiring, lending, and law enforcement, perpetuating existing inequalities.

Can algorithm bias be eliminated completely?

While it may be challenging to eliminate bias entirely, it can be reduced through careful data selection and algorithm design.

What are some examples of algorithm bias in real life?

Examples include biased facial recognition systems and discriminatory credit scoring algorithms.

How can we mitigate algorithm bias?

Mitigation strategies include diversifying training data, implementing fairness audits, and involving diverse teams in development.