Essay.10-JinfanHe-2200012979

Jinfan He

Keywords: XAI

Abstract: Explainable Artificial Intelligence (XAI) is an emerging field in artificial intelligence aimed at providing enhanced explanatory capabilities to current AI systems. The goal is to make AI more understandable to users, increasing trust and facilitating greater interaction between users and AI for improved efficiency. This paper outlines three primary challenges facing current XAI: how to provide explanations that are easily understandable to users, how to enhance the interaction between AI and users to better understand user needs and provide more personalized solutions, and how to conduct a unified evaluation of explanation techniques. In addition, it presents some ideas for addressing these challenges.

Submission Number: 215