Building more explainable artificial intelligence with argumentation

• Main Authors: Zeng, Zhiwei, Miao, Chunyan, Leung, Cyril, Chin, Jing Jih
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Explainable AI; Argumentation
• Online Access: https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16762; https://hdl.handle.net/10356/139223
• Institution: Nanyang Technological University

Currently, much of machine learning is opaque, just like a “black box”. However, in order for humans to understand, trust and effectively manage the emerging AI systems, an AI needs to be able to explain its decisions and conclusions. In this paper, I propose an argumentation-based approach to expla...