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The challenges of detecting and verifying deepfakes, including the need for independent verification and the limitations of current detection tools.
Proven methods for detecting AI-generated deepfakes in marketing combine automated forensic algorithms that flag visual and audio inconsistencies with provenance and authentication systems embedded at...
AI-driven deepfakes are increasingly used to impersonate real doctors and hawk unproven medical products on social media and ad networks, creating a rising consumer safety problem that platforms and r...
Deepfake medical ads — videos or audio that impersonate doctors or celebrities to sell unproven treatments — are surging on social platforms and have already scammed consumers and eroded trust in heal...
Forensic analysts detect deepfakes in medical ads by combining image- and audio-level signal analysis (pixel/texture noise, compression artifacts), biometric and behavioral checks (eye blinks, pupil d...