What is bias in AI?
An example of an AI chatbot conversation about bias in artificial intelligence.
What is bias in AI?
Bias in AI refers to systematic errors that lead to unfair outcomes, often due to prejudiced data or algorithms.
Can you give me an example of bias in AI?
Sure! An example is facial recognition technology that performs poorly on people with darker skin tones due to biased training data.
How can we reduce bias in AI systems?
We can reduce bias by using diverse datasets, implementing fairness algorithms, and regularly auditing AI systems for bias.
What are the consequences of bias in AI?
Consequences include discrimination in hiring, law enforcement, and healthcare, leading to social inequality and mistrust.
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