Page 5: 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

Can people distinguish between AI-generated and human speech?

In a collaboration between Tianjin University and the Chinese University of Hong Kong, researchers led by Xiangbin Teng used behavioral and brain activity measures to explore whether people can discern between AI-generated ...

Security

Deepfake songs are exploding, but a new tool shuts them down

Artificial intelligence models can now clone a voice with just a few seconds of audio, fueling a surge of deepfake songs online and creating a growing crisis for musicians who don't want their voices hijacked. Beyond the ...

Security

AI education could be crucial in tackling rising voice scams

A new study from Abertay University reveals that the most effective way to protect people from AI voice scams is not through traditional warning messages, but by educating them about how advanced and authentic AI voices have ...

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