Page 4: 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

Your conversations with AI may not be as private as you think

A study conducted by researchers at IMDEA Networks Institute has revealed that ChatGPT (OpenAI), Claude (Anthropic), Grok, and Perplexity AI use different types of trackers from Meta, Google, TikTok and other companies, potentially ...

Security

No digital content is safe from generative AI, researchers say

A research team led by Virginia Tech cybersecurity expert Bimal Viswanath has found a critical blind spot in today's image protection techniques designed to prevent bad actors from stealing online content for unauthorized ...

Security

AI fails to make inroads with cybercriminals, study finds

Cybercriminals have been struggling to adopt AI in their work, reports the first-of-its-kind study that analyzed a dataset of 100 million posts from underground cybercrime communities. The study is published on the arXiv ...

Computer Sciences

Can AI quantify beauty? New study suggests it can't

Attempts to define human beauty using artificial intelligence may reveal more about bias in data than universal standards, according to a new analysis from the University of Virginia's School of Data Science. Using computer ...

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