AI brings to the table the ability to gather, analyze, and combine vast quantities of data from different sources. The potential impact of AI on privacy is immense and it is imperative to look into them.

Infographic - AI Data Privacy

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How can AI compromise privacy?

  1. Data Exploitation
    Devices like smart home appliances to computer applications have features that make them vulnerable to data exploitation by AI.
  2. Identification and Tracking
    AI can identify, track and monitor individuals across multiple devices. This means that once your anonymous personal data becomes part of a large data set, AI can de-anonymize it based on inferences from other devices.
  3. Voice and Facial Recognition
    Voice and facial recognition are two methods of identification that AI is becoming increasingly adept at executing. These methods severely compromise anonymity.
  4. Prediction
    AI utilize machine learning algorithms to infer sensitive information from non-sensitive data. For instance, a person’s political view, ethnic identity, and even health can be determined from activity logs, location and similar metrics.
  5. Profiling
    AI can use information as input to sort, classify, evaluate and rank people. This is often done without the consent of the people being categorized.

Remember, reducing your online footprint is the first step in increasing resistance to AI data-mining attempts.