What are some examples of fairness in AI?
Fairness in AI can be seen in various applications, such as ensuring equal treatment in hiring algorithms or avoiding bias in facial recognition systems.
Can you give me a specific example of fairness in hiring?
Sure! An example is using blind recruitment techniques, where candidates' names and backgrounds are hidden to reduce bias.
How do we measure fairness in AI?
Fairness can be measured using metrics like demographic parity, equal opportunity, and disparate impact, which assess outcomes across different groups.
What challenges do we face in achieving fairness?
Challenges include biased training data, lack of diverse representation in AI development, and the complexity of defining fairness itself.
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