Page 7: 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

Human-centric photo dataset aims to help spot AI biases responsibly

A database of more than 10,000 human images to evaluate biases in artificial intelligence (AI) models for human-centric computer vision is presented in Nature this week. The Fair Human-Centric Image Benchmark (FHIBE), developed ...

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