Regulatory Compliance
Regulatory compliance, encompassing adherence to rules and standards across diverse sectors, is a rapidly evolving field driven by the increasing use of AI and automation. Current research focuses on automating compliance checks using techniques like Large Language Models (LLMs) for analyzing legal texts and generating compliant outputs, as well as developing robust algorithms for handling incomplete or noisy data in various applications, from product classification to robotic manipulation. This work is crucial for mitigating risks, improving efficiency, and ensuring responsible technological development across industries, from finance and healthcare to manufacturing and social media.
Papers
RABBIT: A Robot-Assisted Bed Bathing System with Multimodal Perception and Integrated Compliance
Rishabh Madan, Skyler Valdez, David Kim, Sujie Fang, Luoyan Zhong, Diego Virtue, Tapomayukh Bhattacharjee
From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process
Jaewoong Kim, Moohong Min