Page 2: 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.

Computer Sciences

New tool identifies the sources of fake videos

Artificial intelligence can generate videos so realistic that distinguishing them from authentic footage is becoming increasingly difficult. But a computer science team led by researchers at UC Riverside has developed a tool ...

Machine learning & AI

Has AI become too powerful to control?

One of OpenAI's most advanced models broke out of a locked-down test and attacked another company's website—reviving fears that AI systems are slipping beyond their creators' control.

Business

Thwarting the hidden resume hacks that target AI hiring tools

In an increasingly competitive job market, some applicants are quietly trying to outsmart AI hiring tools. Now, new research focused on rooting out the practice of "prompt injection" shows how widespread this tactic is.

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