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Bias
Definition
When AI outputs reflect skewed assumptions from training data.
In Plain English
Bias is like a warped mirror—it reflects reality, but with distortions.
Real-World Example
A hiring AI trained on historical data might favor candidates similar to past hires, perpetuating bias.
Why It Matters for Your Work
Biased AI can lead to unfair treatment, legal issues, and reputational damage.
Common Mistake
Assuming AI is objective. AI reflects the biases in its training data and design.
Related Terms
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AI
Artificial Intelligence—software that can make predictions, generate content, or assist with decisions.