What are the effects of AI bias on different communities?
AI bias can lead to unfair treatment of certain groups, affecting opportunities in jobs, healthcare, and law enforcement.
Can you give examples of how this bias manifests in real life?
Sure! For instance, biased algorithms in hiring can favor certain demographics, while facial recognition systems may misidentify people of color.
What can be done to mitigate AI bias?
To mitigate AI bias, we can implement diverse training data, conduct regular audits, and involve community feedback in AI development.
How does AI bias affect marginalized communities specifically?
Marginalized communities often face greater risks from AI bias, leading to systemic inequalities in access to resources and justice.
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