What are the ethical implications of using multiprocessing in AI?
Multiprocessing in AI can enhance efficiency, but it raises concerns about data privacy and algorithmic bias.
Can you elaborate on how it affects data privacy?
Certainly! Multiprocessing can lead to data being processed in parallel, which may increase the risk of unauthorized access or leaks.
What about algorithmic bias? How does that come into play?
When multiple processes are involved, biases in training data can be amplified, leading to unfair outcomes in AI decisions.
Are there any guidelines to mitigate these ethical issues?
Yes, implementing strict data governance policies and regular audits can help mitigate these ethical concerns.
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