Lecture: 'Recent advances in explainable AI and assistive dialogues'

In this talk, I will discuss three eXplainable AI (XAI) projects and one project in assistive dialogues to help blind and low vision (BLV) users. The XAI projects deal with generating and comparing three types of explanations for a logistic regression model; investigating the influence of different aspects of uncertainty representation on the acceptance of predictions of ML models; and generating explanations for the predictions of goal recognizers. The assistive dialogue project combines a refreshable tactile display with a dialogue agent to help BLV users explore and analyze data.

About the speaker

Ingrid Zukerman is a Professor in the Department of Data Science and Artificial Intelligence in the Faculty of Information Technology at Monash University. She received her BSc degree in Industrial Engineering and Management and her MSc degree in Operations Research from the Technion – Israel Institute of Technology. She obtained her PhD in Computer Science from UCLA in 1986. Since then, she has been working in the Faculty of Information Technology at Monash University. Her areas of interest are explainable Artificial Intelligence (XAI), dialogue systems, trust in automated agents, and assistive systems for elderly and disabled people.