What are some effective strategies to mitigate AI bias?
To mitigate AI bias, we can implement diverse training data, conduct regular audits, and involve interdisciplinary teams.
How can diverse training data help in reducing bias?
Diverse training data ensures that the AI learns from a wide range of perspectives, reducing the risk of biased outcomes.
What role do audits play in identifying bias?
Audits help in identifying biases by analyzing AI decisions and outcomes, allowing for adjustments and improvements.
Can involving interdisciplinary teams really make a difference?
Yes, interdisciplinary teams bring varied expertise and viewpoints, which can help identify and address biases more effectively.
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