What is AI bias and how does it affect AI systems?

What is AI bias and how does it affect AI systems?

AI bias refers to systematic errors in AI systems that lead to unfair outcomes. It can arise from biased training data or flawed algorithms.

Can you give me an example of AI bias in real life?

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

How can we mitigate AI bias?

Mitigating AI bias involves using diverse training data, regularly auditing algorithms, and implementing fairness guidelines during development.

Is AI bias a legal issue?

Yes, AI bias can lead to legal challenges, especially if it results in discrimination or violates anti-discrimination laws.

What are some tools to detect AI bias?

There are several tools like Fairness Indicators, AI Fairness 360, and What-If Tool that help detect and mitigate bias in AI models.