AI tools like ChatGPT and smartwatches enhance daily life but pose significant data privacy risks. These systems often collect extensive user data, frequently without users’ awareness, to predict future behaviors and personalize experiences. As an assistant professor of cybersecurity, I’ve explored how AI manages personal data and how to create secure systems. Generative AI apps store user inputs, while predictive AI analyzes social media activity to refine user profiles, which can be sold to data brokers. Smart devices also collect data passively, raising concerns about accidental recordings and third-party access. With privacy controls often limited, users can unknowingly become the product of free services. Data breaches and lack of transparency in data usage further complicate the landscape. Although AI tools provide valuable insights and streamline tasks, users should avoid sharing personal information and remain vigilant about privacy policies to safeguard their data. Understanding these complexities is crucial for responsible AI tool usage.
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