#multimodal-detection News & Analysis

2 articles tagged with #multimodal-detection. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · 14h ago7/10

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Detecting Corporate AI-Washing via Cross-Modal Semantic Inconsistency Learning

Researchers have developed AWASH, a multimodal AI detection framework that identifies corporate AI-washing—exaggerated or fabricated claims about AI capabilities across corporate disclosures. The system analyzes text, images, and video from financial reports and earnings calls, achieving 88.2% accuracy and reducing regulatory review time by 43% in user testing with compliance analysts.

AINeutralarXiv – CS AI · 14h ago6/10

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Toward Accountable AI-Generated Content on Social Platforms: Steganographic Attribution and Multimodal Harm Detection

Researchers propose a steganography-based attribution framework that embeds cryptographic identifiers into AI-generated images to combat harmful misuse on social platforms. The system combines watermarking techniques with CLIP-based multimodal detection to achieve 0.99 AUC-ROC performance, enabling reliable forensic tracing of synthetic media used in misinformation campaigns.