What are fairness algorithms in AI?

What are fairness algorithms in AI?

Fairness algorithms in AI are techniques designed to ensure that AI systems make decisions without bias, promoting equity.

How do these algorithms work?

They work by identifying and mitigating biases in data and models, often using statistical methods to ensure fair outcomes.

Can you give an example of a fairness algorithm?

Sure! One example is the 'Equalized Odds' algorithm, which aims to ensure that the true positive rates are equal across different groups.

What are the challenges in implementing these algorithms?

Challenges include defining fairness, dealing with biased data, and balancing fairness with other performance metrics.