What is algorithmic fairness?

What is algorithmic fairness?

Algorithmic fairness refers to the principle that AI systems should make decisions without bias, ensuring equitable treatment for all individuals.

Why is algorithmic fairness important?

It's crucial because biased algorithms can lead to unfair outcomes in areas like hiring, lending, and law enforcement, affecting people's lives.

How can we measure algorithmic fairness?

We can measure it using various metrics, such as demographic parity, equal opportunity, and calibration, to assess how different groups are treated.

What are some challenges in achieving algorithmic fairness?

Challenges include data bias, the complexity of defining fairness, and the trade-offs between fairness and accuracy in models.