We went from "AI says something embarrassing" to "$25M deepfake fraud" in about two years
Summary
The article discusses the shift from minor AI embarrassments to a $25 million deepfake fraud case at Arup, highlighting that the real AI threat is social engineering via synthetic media, not just hallucinations or bias.
Similar Articles
The way AI voice phishing and deepfakes get demonstrated is making people worse at spotting it
The article argues that common advice for spotting AI voice phishing is flawed because real attacks use real-time voice changers, not text-to-speech artifacts, and the author provides a free demo to educate.
Wall Street Journal: AI Deepfakes Are Getting Weirder and Harder to Spot in the Midterms | Wave of fake videos and ads fuels worries about misinformation
AI-generated deepfakes are becoming more realistic and harder to detect, raising concerns about their use in spreading misinformation during midterm elections.
Using AI to deceive people
Discusses the use of artificial intelligence to deceive individuals, raising ethical and safety concerns.
AI Deepfakes and Creator Economy Fraud: Detection & Protection Guide 2026
This article from Sumsub examines the rising threat of AI-powered deepfake fraud targeting the creator economy, and offers a guide on detection and protection methods to combat impersonation and voice cloning scams.
This article about AI allucinations written by thehackernews, is literally written with AI lol... We need to do something to stop this phenomenon
This article discusses how AI hallucinations create real security risks, highlighting a 2025 benchmark showing most AI models provide confident incorrect answers. It explains causes and urges human verification of AI outputs.