What are some examples of biased data in AI?

What are some examples of biased data in AI?

Biased data in AI can manifest in various ways. For instance, facial recognition systems often perform poorly on individuals with darker skin tones due to underrepresentation in training datasets.

Can you give more examples?

Sure! Another example is hiring algorithms that 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 biased AI?

Yes, biased AI can lead to unfair treatment in areas like hiring, law enforcement, and lending, potentially perpetuating social inequalities.