What are some examples of ethical NLP practices?
Ethical NLP practices include bias mitigation, transparency in algorithms, and ensuring user privacy.
Can you explain how bias mitigation works in NLP?
Bias mitigation involves identifying and reducing biases in training data and algorithms to ensure fair outcomes.
What role does transparency play in ethical NLP?
Transparency helps users understand how NLP models make decisions, fostering trust and accountability.
How can I ensure user privacy when using NLP?
You can ensure user privacy by anonymizing data, using secure storage, and implementing strict access controls.
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