What is algorithmic bias?
An example of an AI chatbot conversation about algorithmic bias in AI systems.
What is algorithmic bias?
Algorithmic bias refers to systematic and unfair discrimination in algorithms, often due to biased training data.
Can you give me an example of algorithmic bias?
Sure! A common example is facial recognition software that performs poorly on people of color due to biased training datasets.
How can we reduce algorithmic bias?
We can reduce it by using diverse datasets, regularly auditing algorithms, and involving diverse teams in development.
What are the consequences of algorithmic bias?
Consequences can include unfair treatment in hiring, law enforcement, and access to services, leading to social inequality.
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