Human Centred Explainable AI: Principles, Guidelines and Practical Examples

https://github.com/singhrr/hcxai_ausdm2024

Abstract:

This tutorial on Human-Centred Explainable AI (HCXAI) aims to equip participants with the knowledge and skills necessary to develop explainable AI systems. Through a human-centred approach, participants will explore core principles such as user understanding, trust calibration, and cognitive engagement. The session will cover a variety of explanation methods, offering guidance on designing effective explanations that enhance user understanding and interaction with AI systems. Attendees will gain insights into best practices for conducting user studies and evaluating XAI systems. Through interactive demonstrations and hands-on activities, they will deepen their practical knowledge. Participants will also receive support materials, including slides, links and references to XAI tools, and examples of user studies.

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Short Biographies:

Ronal is a Research Scientist with the Human Centric Security team in CSIRO's Data61 and a member of the CINTEL FSP. Ronal's primary interest lies in artificial intelligence, particularly multi-modal human-agent interactions, AI-assisted decision-making, explainable AI, intention recognition, and multiagent communication planning. Previously, he was a Research Fellow in Human-Agent Collaboration and an Associate Lecturer in the School of Computing and Information Systems at the University of Melbourne. Ronal completed his PhD in 2018 from the University of Melbourne and his BSc and MSc degrees in Computer Science from the University of the South Pacific in the Fiji Islands.
Website: https://people.csiro.au/s/r/ronal-singh

Tim is a Professor of Artificial Intelligence in the School of Electrical Engineering and Computer Science at The University of Queensland, Meaanjin/Brisbane, Australia. His research draws on machine learning, reinforcement learning, AI planning, interaction design, and cognitive science, to help people to make better decisions. He has done work on areas including explainable AI, human-AI planning, and human-centered decision support. Prior to his appointment at The University of Queensland, Tim was a Professor of Computer Science in the School of Computing and Information Systems at The University of Melbourne, where he was founding co-director of The Centre for AI and Digital Ethics. He is an honorary professor at the University of Melbourne.
Website: https://about.uq.edu.au/experts/41328