タグ: deepfake

Fraud losses enabled by generative AI in the United States are projected to reach $40 billion by 2027, up from $12.3 billion in 2023, according to Deloitte’s Center for Financial Services. That is a 32% compound annual growth rate. A large share of that is powered by deepfakes, AI-generated video, voice, and images convincing enough to impersonate your boss, a celebrity, or a family member. The good news is that even in 2026, deepfakes still leave small, catchable mistakes, and knowing how to detect AI deepfakes is now a basic digital-safety skill. This guide walks through 10 practical ways to spot a fake, from unnatural blinking and lip-sync errors to […]

In 2024, experts warned that the internet is rapidly reaching a tipping point: up to 50% of the images we see online could now be fake. AI tools like Midjourney, DALL·E 3, and Stable Diffusion are generating high-quality photos that look nearly identical to real ones — and they’re spreading across platforms like Twitter, Instagram, and TikTok at scale. Hany Farid, a professor at UC Berkeley and one of the world’s leading digital forensics experts, has spent the last 30 years building tools to detect manipulated media. In his TED Talk, he walks through how his team verifies whether an image is authentic or AI-generated. His work has been used by […]

TikTokの親会社として知られるByteDanceは、たった1枚の画像から本物そっくりの人間の動画を生成できる全く新しいAIモデル、OmniHuman-1を発表した。このイノベーションは、顔の表情だけに焦点を当てるのではなく、ジェスチャー、頭の動き、手の動きに至るまで身体全体をアニメーション化することで、既存の「ディープフェイク」手法のほとんどを超えるものだ。OmniHuman-1は、大規模な拡散ベースのアーキテクチャを活用し、静止画像、音声信号、参照ビデオなどの最小限の入力から自然な動きをキャプチャすることができます。その結果、このモデルは、魅力的なデジタルアバターや架空のビデオクリップを比較的簡単に制作したいと考えているコンテンツ制作者、映画制作者、マーケティング担当者に可能性をもたらします。なぜOmniHuman-1が重要なのか これまでのAIベースの [...]...