What is AI bias and how can we address it?
An example of an AI chatbot conversation about understanding AI bias and its solutions.
What is AI bias?
AI bias refers to systematic and unfair discrimination in AI systems, often due to biased training data.
How does AI bias occur?
It occurs when the data used to train AI models reflects existing prejudices or lacks diversity.
What are the consequences of AI bias?
Consequences can include unfair treatment in hiring, lending, and law enforcement, leading to societal harm.
How can we address AI bias?
We can address it by using diverse datasets, implementing fairness checks, and involving diverse teams in AI development.
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