Can algorithms be biased?
Yes, algorithms can be biased. This can happen due to biased training data or flawed design.
What are some examples of biased algorithms?
Examples include facial recognition systems that misidentify people of color and hiring algorithms that favor certain demographics.
How can we reduce bias in algorithms?
We can reduce bias by using diverse training data, regularly auditing algorithms, and involving diverse teams in development.
Is it possible to completely eliminate bias?
While it's challenging to completely eliminate bias, we can strive to minimize it through continuous monitoring and improvement.
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