Can AI be made more fair?

What does it mean for AI to be fair?

Fairness in AI refers to the idea that algorithms should make decisions without bias, treating all individuals equally.

How can we measure fairness in AI systems?

Fairness can be measured using various metrics, such as demographic parity, equal opportunity, and calibration.

What are some common biases found in AI?

Common biases include racial bias, gender bias, and socioeconomic bias, often stemming from biased training data.

Can AI be designed to eliminate these biases?

While it's challenging, AI can be designed to reduce biases through better data collection, algorithm adjustments, and ongoing monitoring.