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AI & Human Accountability

Suggested by M Thomas George about 1 year ago

Deepfakes, voice-clones, and AI-generated media have erased the line between truth and fabrication. Courts, broadcasters, governments, and brands now risk fraud, reputational collapse, and even public-safety failures because no one can prove who really spoke when or where. Visual watermarks and metadata can be stripped; blockchain hashes can’t operate in real time. bothX® solves the gap by embedding an inaudible ultrasonic mark that rolls every second—carrying the speaker’s unique ID, exact timestamp, and GPS coordinates—directly inside the sound wave. The mark is tamper-proof, survives copies, and is verifiable in seconds on any phone or mic array, turning every word into self-authenticating evidence.

alarm Why Now?

Since 2023, deep-fake incidents have surged 9×, regulators in the EU & US are drafting provenance laws, and the 2026 election cycle looms. At the same time, modern phone speakers and low-cost ultrasonic chips finally make high-fidelity >20 kHz audio ubiquitous. Edge AI decoders and 5 G bandwidth let verification happen instantly. The market is actively searching for a real-time, physics-level authenticity layer—before trust in digital speech collapses. Patented and SDK-ready, bothX® lands at precisely the moment when demand, regulation, and enabling hardware converge

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how_to_reg  James Lauderdale followed AI & Human Accountability • 4 months ago
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how_to_reg  Charles Steinmetz followed AI & Human Accountability • about 1 year ago
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how_to_reg  Vision One followed AI & Human Accountability • about 1 year ago
favorite  Alex Aguilar liked AI & Human Accountability • about 1 year ago
how_to_reg  M Thomas George followed AI & Human Accountability • about 1 year ago
lightbulb_outline  M Thomas George suggested that we solve AI & Human Accountability • about 1 year ago
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