Feasibility Project: Leveraging Artificial Intelligence to Enhance and Understand Regulatory Compliance in the Investment Management Industry
Project Summary
Our goal is to create an AI system that simplifies and improves regulatory compliance in global investment management whilst maintaining the highest standards of responsible and trustworthy AI development. We will use advanced AI techniques to convert complex regulatory texts into clear, consistent rules that reflect current international standards. Our system will employ probabilistic methods to identify regulation inconsistencies and generate accurate compliance rules based on reliable data.
We prioritise the development of AI models with enhanced reasoning capabilities to ensure the coherent generation of regulatory content. By incorporating economic principles and rigorous testing procedures, we aim to create a reliable tool that maintains regulatory adherence, enhances risk evaluation, and operates ethically and responsibly. Throughout the project, we will emphasise human oversight, accountability, and transparency in the AI-generated content, establishing clear protocols for human intervention and decision-making, and implementing methods to enhance interpretability and enable stakeholders to understand and audit the decision-making process behind the generated content.
Project team
Dr Barry Quinn CStat
Queens University Belfast
Jesus Martinez Del Rincon
Queens University Belfast