Compliance Monitoring

Compliance monitoring focuses on automatically verifying adherence to regulations and policies across diverse sectors, aiming to improve efficiency and accuracy compared to manual methods. Current research emphasizes leveraging machine learning, particularly large language models and deep learning architectures like YOLO and BiLSTMs, along with knowledge graphs and symbolic reasoning techniques, to analyze textual data (e.g., privacy policies, regulations, code) and visual data (e.g., satellite imagery). This work holds significant implications for various fields, enabling automated audits, improved regulatory enforcement, and more efficient compliance management in areas ranging from healthcare and finance to environmental protection and social media moderation.