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Privacy Concerns in AI: What Are They, and How Can We Protect Ourselves?

  • AI thrives on personal data, posing privacy risks if misused.
  • Key concerns include data collection, surveillance, and data misuse.
  • Real examples of privacy breaches and biases in AI have occurred.
  • Efforts to address concerns include regulations, ethical AI development, and transparency.
  • Individuals can protect privacy by limiting data sharing, using privacy tools, and advocating for ethical AI.

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