4 articles tagged with #regulatory-tech. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
ampersend and TRM Labs have partnered to integrate real-time compliance screening into AI agent transactions, enabling autonomous systems to conduct compliant commerce at scale. This collaboration addresses a critical gap in enterprise adoption of AI-driven trading and commerce by combining ampersend's transaction infrastructure with TRM Labs' compliance expertise.
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.
Researchers have developed an open-source benchmark dataset to evaluate AI systems' compliance with the EU AI Act, specifically focusing on NLP and RAG systems. The dataset enables automated assessment of risk classification, article retrieval, and question-answering tasks, achieving 0.87 and 0.85 F1-scores for prohibited and high-risk scenarios.
Researchers have developed PASTA, a scalable AI compliance evaluation framework that can assess multiple policies simultaneously using LLM-powered analysis. The system evaluates five major AI policies in under two minutes for approximately $3, with expert validation showing strong alignment with human judgment.
