What are some examples of cultural bias in AI?
Cultural bias in AI can manifest in various ways, such as biased training data or algorithms that favor certain demographics.
Can you give me a specific example?
Sure! One example is facial recognition technology, which often performs poorly on individuals with darker skin tones due to underrepresentation in training datasets.
What are the implications of this bias?
The implications can be severe, leading to misidentification, discrimination, and a lack of trust in AI systems, particularly among marginalized communities.
How can we address cultural bias in AI?
Addressing cultural bias involves diversifying training data, implementing fairness audits, and involving diverse teams in AI development.
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