What is "differential privacy" in the context of AI?
- Enhancing AI's interpretability.
- Ensuring AI models are diverse.
- Preventing AI bias.
- Protecting individual privacy while analyzing data.
"Differential privacy" in AI is a technique that focuses on protecting individual privacy when analyzing data. It adds noise or randomness to the data to make it more challenging to identify specific individuals while still extracting valuable insights.
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