What are some examples of data bias in AI?

What are some examples of data bias in AI?

Data bias in AI can occur in various forms. For instance, facial recognition systems often misidentify people of color due to underrepresentation in training data.

Can you give me another example?

Sure! Another example is in hiring algorithms, which may favor candidates from certain demographics if the training data reflects historical hiring biases.

How can we mitigate these biases?

Mitigating biases involves diversifying training datasets, implementing fairness algorithms, and continuously monitoring AI systems for biased outcomes.

Are there any real-world consequences of these biases?

Yes, biased AI can lead to unfair treatment in areas like hiring, law enforcement, and lending, affecting people's lives significantly.