What are some examples of AI bias in technology?
AI bias can manifest in various ways, such as biased hiring algorithms, facial recognition inaccuracies, and language processing errors.
Can you explain how biased hiring algorithms work?
Sure! Biased hiring algorithms often reflect the biases present in the training data, leading to unfair advantages for certain demographics.
What impact does facial recognition bias have on society?
Facial recognition bias can lead to wrongful accusations, increased surveillance of marginalized communities, and erosion of trust in technology.
How can we mitigate AI bias?
Mitigating AI bias involves diversifying training data, implementing fairness audits, and involving diverse teams in AI development.
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