Can AI be self-aware and biased?
AI can simulate self-awareness but lacks true consciousness. Bias in AI arises from training data.
How does bias in AI affect decision-making?
Bias can lead to unfair outcomes, reinforcing stereotypes or discrimination in areas like hiring or law enforcement.
What are some examples of AI bias in real-world applications?
Examples include facial recognition systems misidentifying people of color and biased algorithms in credit scoring.
Can we eliminate bias in AI completely?
While we can reduce bias through better data and algorithms, completely eliminating it is challenging due to human influence.
What steps can be taken to minimize bias in AI?
Steps include diversifying training data, implementing fairness checks, and involving diverse teams in AI development.
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