How does bias affect AI decision-making?

How does bias affect AI decision-making?

Bias in AI can lead to unfair outcomes, as algorithms may reflect the prejudices present in their training data.

Can you give an example of bias in AI?

Sure! One example is facial recognition technology, which has been shown to misidentify people of color more often than white individuals.

What are the consequences of biased AI decisions?

Consequences can include discrimination in hiring, unfair law enforcement practices, and perpetuating stereotypes.

How can we mitigate bias in AI systems?

Mitigating bias involves using diverse training data, regular audits, and implementing fairness-aware algorithms.