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 me 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 perpetuation of stereotypes.

How can we reduce bias in AI systems?

We can reduce bias by using diverse training data, implementing fairness checks, and involving diverse teams in AI development.