Page 3: Research news on Generative AI misinformation

Generative AI misinformation concerns the creation and dissemination of synthetic media—such as hyperrealistic deepfake images, videos, and voices—used to deceive, manipulate, or exploit individuals and publics. Work in this area examines AI-enabled impersonation, political and commercial disinformation, scams, and non-consensual explicit content, as well as their psychological and societal impacts. It also investigates technical and sociotechnical defenses, including detection models, watermarking and provenance systems, security against data poisoning and backdoors, and human-centered interventions to preserve trust and information integrity.

Machine learning & AI

Anthropic says will put AI risks 'on the table' with Mythos model

American AI developer Anthropic plans to "lay the risks out on the table" even as it restricts deployment of a new model dubbed Mythos, whose powerful cybersecurity capabilities raise stark questions for companies and governments.

Machine learning & AI

AI 'agent' fever comes with lurking security threats

Artificial intelligence "agents" promise to save users time and energy by automating tasks, but the growing power of systems like OpenClaw is setting cybersecurity experts on edge.

Machine learning & AI

Mythos AI alarm bells: Fair warning or marketing hype?

Anthropic postponing the release of its new AI model Claude Mythos, said to be so skilled at coding it could be a wicked weapon for hackers, has encountered a mix of alarm and skepticism.

Machine learning & AI

Dubious AI detectors drive 'pay-to-humanize' scam

Feed an Iranian news dispatch or a literary classic into some text detectors, and they return the same verdict: AI-generated. Then comes the pitch: pay to "humanize" the writing, a pattern experts say bears the hallmarks ...

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