What are the ethical implications of deep learning in AI?
Deep learning in AI raises several ethical concerns, including bias in algorithms, privacy issues, and accountability.
Can you explain how bias can occur in deep learning models?
Bias can occur if the training data is not representative of the population, leading to skewed outcomes.
What measures can be taken to mitigate these biases?
To mitigate biases, we can use diverse datasets, implement fairness algorithms, and conduct regular audits of AI systems.
Are there any regulations in place to govern AI ethics?
Yes, various countries are developing regulations to ensure ethical AI use, focusing on transparency, accountability, and fairness.
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