How can AI reduce bias in decision-making?

How can AI reduce bias in decision-making?

AI can reduce bias by using diverse training data, implementing fairness algorithms, and regularly auditing outcomes.

Can you give me an example of a fairness algorithm?

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

What are some challenges in implementing these methods?

Challenges include data quality, the complexity of algorithms, and the need for continuous monitoring to ensure fairness.

How do we measure bias in AI systems?

Bias can be measured using metrics like demographic parity, equal opportunity, and disparate impact analysis.