How can we mitigate AI bias?

What are some effective strategies to mitigate AI bias?

To mitigate AI bias, you can implement diverse training data, conduct regular audits, and involve multidisciplinary teams.

How does diverse training data help in reducing bias?

Diverse training data ensures that the AI learns from a wide range of perspectives, reducing the risk of biased outcomes.

Can you give examples of AI bias in real-world applications?

Sure! Examples include biased hiring algorithms that favor certain demographics or facial recognition systems that misidentify people of color.

What role do audits play in identifying AI bias?

Audits help identify biases by evaluating AI decisions against fairness criteria and ensuring compliance with ethical standards.