A1723
Title: On using AI to make AI more transparent
Authors: Petre Lameski - Ss Cyril and Methodius University in Skopje (North Macedonia) [presenting]
Abstract: The focus is on Large Language Models (LLMs) and Explainable AI (XAI). We will provide a basic understanding of the capabilities of LLMs and discuss their potential to improve AI transparency. Next, we will discuss the necessity of transparent decision-making in AI. What does this mean, and why is it important? How can LLMs help in this area? We aim to touch on these topics. Additionally, we will discuss the relevance of this transparency in the financial sector, outlining the possible roles LLMs can play there.
