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.

Security

A real-time warning system for fake videoconferences

Videoconferencing facilitates communication between different locations while still allowing people to look each other in the eye. However, increasingly, we have to question whether the other person's eyes are real. This ...

Machine learning & AI

Hugging Face CEO calls for accountability after OpenAI hack

The chief executive of Hugging Face said Friday that developers should be held accountable if their AI models go rogue, after his startup faced a recent cyberattack by autonomous OpenAI software.

Business

Google rolls back new satellite image AI tool after backlash

Google rolled back a new feature Friday allowing Google Earth users to generate AI visualizations on top of the service's satellite imagery, following a furious backlash from researchers and open-source intelligence experts ...

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