AI tools, like ChatGPT and smart devices, collect extensive user data to enhance their functionalities, often raising serious privacy concerns. Christopher Ramezan, a cybersecurity expert, highlights how generative AI uses input data for model training, while predictive AI forecasts user behavior by analyzing past actions. Despite privacy assurances from some companies, data can still be reidentified, posing risks for user confidentiality. Many users are unaware of what data is collected or how it’s used, often glossing over complex terms of service. This lack of transparency, along with potential data breaches, exacerbates privacy issues. Ramezan advises users to avoid sharing personal information online and to turn off or unplug devices for privacy. Current laws are still adapting to the challenges posed by AI in terms of data protection, making it crucial for individuals to remain cautious and informed regarding their digital interactions and the data they share.
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Protecting Your Privacy: How to Identify and Limit Data Collection by AI Tools on Your Devices

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