What are the consequences of biased AI systems?
Biased AI systems can lead to unfair treatment, discrimination, and reinforce existing societal biases.
Can you give me examples of biased AI in real life?
Sure! Examples include biased hiring algorithms that favor certain demographics and facial recognition systems that misidentify people of color.
How can we mitigate bias in AI?
Mitigating bias involves diverse training data, regular audits, and involving ethicists in the AI development process.
What are the ethical implications of biased AI?
The ethical implications include accountability for harm caused, the need for transparency, and the importance of fairness in AI applications.
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