What are the challenges of AI in diverse communities?
AI systems often struggle with bias, lack of representation, and cultural misunderstandings in diverse communities.
Can you give examples of bias in AI?
Sure! For instance, facial recognition systems may misidentify individuals from certain ethnic backgrounds due to biased training data.
How can we improve AI for these communities?
Improving AI involves diversifying training data, involving community voices in development, and continuous monitoring for bias.
What role do ethics play in AI development?
Ethics are crucial in AI development to ensure fairness, accountability, and transparency, especially in diverse contexts.
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