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AI may seem neutral, but it often reflects the biases in the data it learns from—data created by humans. This can lead to unfair outcomes, especially in important areas like job hiring, facial recognition, and education. These biases aren't always intentional; they can come from missing information or data that mostly represents just one group of people.

When AI systems are used to make real-life decisions, the impact can be serious—especially for communities that already face inequality. That’s why it’s important for developers, educators, businesses, and governments to stay alert. They need to test AI tools properly, include diverse perspectives, and double-check the results.

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