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Ethical Considerations and AI Safety in Google Gemini

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  • Bias Mitigation: Efforts are made to reduce biases in the training data and outputs.
  • Privacy Protection: Ensuring that user data is handled securely and responsibly.
  • Content Moderation: Implementing safeguards to prevent the generation of inappropriate or harmful content.
  • Transparency: Providing insights into how the model makes decisions to build trust with users.

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