AI is transforming cybersecurity and privacy, enhancing protection while raising ethical concerns. Learn how to stay secure and protect your data in an AI-driven world.
and digital privacy, promising enhanced security while simultaneously raising questions about surveillance, data misuse, and ethical boundaries. As AI-driven systems become more embedded in daily life—from facial recognition software to predictive crime prevention—consumers are left wondering: where do we draw the line between protection and overreach?
The UK's Department for Work and Pensions employed an AI system to identify welfare fraud. An internal assessment revealed that the systembased on age, disability, marital status, and nationality. This bias led to certain groups being unfairly selected for fraud investigations, raising concerns about discrimination and the ethical use of AI in public services.
Cohen advocates for the integration of biometric verification, behavioral analytics, and cross-referenced intelligence to help authorities quickly identify patterns of fraud, inconsistencies in visa applications, and links to known criminal networks. He stresses that while AI can significantly bolster security infrastructure, its deployment must be accompanied by strict guidelines to prevent misuse and ensure public trust.
Many online services offer ways to opt out of targeted ads and tracking—explore privacy settings in Google, Facebook, and other platforms. Disable ad personalization and behavioral tracking in browsers and apps.encrypt internet traffic and prevent AI-based tracking of browsing habits. Privacy-centric search engines and browsers help minimize tracking.
Cybersecurity AI Privacy Data Protection Surveillance Facial Recognition AI Ethics Tracking Prevention AI Threats Encryption
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