What are some examples of algorithmic bias in AI?

What are some examples of algorithmic bias in AI?

Algorithmic bias occurs when AI systems produce unfair outcomes due to prejudiced data or flawed algorithms. For example, facial recognition systems have been shown to misidentify individuals from certain racial groups more often than others.

Can you give me more specific examples?

Sure! One example is hiring algorithms that favor male candidates over female candidates due to biased training data. Another is predictive policing tools that disproportionately target minority communities.

How can we mitigate algorithmic bias?

Mitigating algorithmic bias involves using diverse training data, regularly auditing algorithms for fairness, and involving diverse teams in AI development.

Are there any regulations regarding algorithmic bias?

Yes, some countries are implementing regulations to ensure fairness in AI, such as the EU's proposed AI Act, which aims to address bias and promote transparency.