What are some examples of AI discrimination?
AI discrimination occurs when algorithms produce biased outcomes. For instance, facial recognition systems often misidentify people of color.
Can you give me more examples in hiring processes?
Sure! Some AI recruitment tools have been found to favor male candidates over female candidates, often due to biased training data.
What are the consequences of AI discrimination?
Consequences include perpetuating social inequalities, loss of opportunities for marginalized groups, and legal repercussions for companies.
How can we mitigate AI discrimination?
Mitigation strategies include diversifying training data, implementing fairness audits, and involving diverse teams in AI development.
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