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Understanding AI Bias and Its Impact by omaraoudi is a document available to read on EtoBox.

What is Understanding AI Bias and Its Impact about?

The document discusses AI bias, how it works, and examples. It explains that during machine learning, AI is tested and learns from data, which can result in systematically biased results. For example, an AI learned that most CEOs were male from its training data and then presented males as 89% of CEOs, even though they are actually 73%. To reduce AI bias, its training data must be more inclusive and balanced. While theoretically possible, achieving completely unbiased AI may be impractical given limitations

Author

omaraoudi

Language

EN