What are some real-world challenges faced by AI today?
AI faces several challenges, including bias in algorithms, data privacy concerns, and the need for transparency.
Can you give me an example of bias in AI?
Sure! One example is facial recognition technology, which has shown higher error rates for people of color.
How does data privacy affect AI development?
Data privacy affects AI by limiting the amount of data available for training, which can hinder performance and innovation.
What steps are being taken to address these challenges?
Many organizations are implementing ethical guidelines, improving data governance, and promoting diversity in AI development.
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