AI RESEARCH
Detecting Corporate AI-Washing via Cross-Modal Semantic Inconsistency Learning
arXiv CS.AI
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ArXi:2604.09644v1 Announce Type: cross Corporate AI-washing-the strategic misrepresentation of AI capabilities via exaggerated or fabricated cross-channel disclosures-has emerged as a systemic threat to capital market information integrity with the widespread adoption of generative AI. Existing detection methods rely on single-modal text frequency analysis, suffering from vulnerability to adversarial reformulation and cross-channel obfuscation.