What are the ethical implications of machine learning?
Machine learning raises several ethical concerns, including bias in algorithms, privacy issues, and accountability.
Can you explain how bias in algorithms occurs?
Bias can occur when the training data reflects societal prejudices or when the algorithm is not designed to be fair.
What steps can be taken to mitigate these biases?
To mitigate biases, we can use diverse datasets, implement fairness-aware algorithms, and conduct regular audits.
How does privacy play a role in machine learning ethics?
Privacy is crucial as machine learning often requires large amounts of personal data, raising concerns about consent and data security.
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