How does AI bias affect patient outcomes in healthcare?
AI bias can lead to unequal treatment recommendations, affecting diagnosis and care quality for different patient groups.
Can you give examples of AI bias in medical algorithms?
Sure! One example is facial recognition software that misidentifies patients of certain ethnicities, leading to misdiagnosis.
What are the consequences of biased AI in healthcare?
Consequences include disparities in treatment, worsening health outcomes for marginalized groups, and loss of trust in healthcare systems.
How can we mitigate AI bias in healthcare?
Mitigation strategies include diverse training data, regular audits of AI systems, and involving healthcare professionals in AI development.
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