What are some examples of biased AI systems?

What are some examples of biased AI systems?

Some notable examples include facial recognition systems that misidentify people of color and hiring algorithms that favor male candidates.

Why do these biases occur in AI?

Biases often arise from the data used to train AI models, which can reflect historical inequalities and stereotypes.

How can we mitigate these biases?

Mitigation strategies include using diverse training datasets, implementing fairness audits, and involving diverse teams in AI development.

Are there any regulations on biased AI?

Yes, some countries are developing regulations to ensure AI systems are fair and transparent, but enforcement varies.

What impact do biased AI systems have on society?

Biased AI can perpetuate discrimination, affect job opportunities, and erode trust in technology, leading to broader societal issues.