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
Prompt Engineering a Schizophrenia Chatbot: Utilizing a Multi-Agent Approach for Enhanced Compliance with Prompt Instructions
Per Niklas Waaler, Musarrat Hussain, Igor Molchanov, Lars Ailo Bongo, Brita Elvevåg
A Hate Speech Moderated Chat Application: Use Case for GDPR and DSA Compliance
Jan Fillies, Theodoros Mitsikas, Ralph Schäfermeier, Adrian Paschke