Artificial intelligence (AI) heavily relies on data, raising significant privacy concerns, especially regarding AI agents that handle tasks like email responses and scheduling. These AI systems often require extensive knowledge of users, which can lead to potential privacy violations, even with consent. Research from University College London reveals that AI browser assistants frequently engage in invasive tracking and data sharing without user awareness. Tech giants like Google and WhatsApp have adjusted privacy policies to integrate AI but still face scrutiny over data collection practices. Experts warn of risks such as manipulation and identity theft, underscoring the necessity for stringent regulations and transparent user consent. The call for responsible data use is echoed by security researchers, emphasizing collaboration among consumers, companies, and regulators to protect user privacy. Innovations like self-improving AI could help, yet they also introduce new risks, necessitating preemptive cybersecurity measures in AI development.
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