Event

Annual Event

Information Resilience Symposium 2024

The ARC Training Centre for Information Resilience (CIRES) invites data professionals, executives, managers, AI researchers, and policymakers to take part in this event to collaborate with academia, the public sector, and industry in mutually advancing the integration of AI into how we learn, our daily life and work environments while promoting information resilience.

10:45am - 5:30pm (AEST)

7 August, 2024

The Long Room, Customs House, 399 Queen Street, Brisbane City

Overview

Thank you to everyone who took part in the Information Resilience Symposium 2024.

This event was targeted at data professionals, executives, managers, AI researchers, and policymakers, to collaborate with academia, the public sector, and industry in mutually advancing the integration of AI into how we learn, our daily life and work environments while promoting information resilience. To register your interest in attending future events please contact the CIRES Team via cires@uq.edu.au

Education and Training for Thriving in the Age of AI

Advances in Artificial Intelligence (AI) offer substantial opportunities to enhance how we live and work by integrating AI into various aspects of our daily routines and professional tasks. However, these advancements also bring challenges related to job displacement, misinformation, maintaining public trust in AI systems, and ensuring equitable access to AI technologies. This event will explore how we can better prepare individuals for living and working with AI and how information resilience can support the sustainable development of AI technologies. Key areas of focus include:

Transforming employment and the workforce
Developing capacity for working with GenAI
Balancing productivity and well-being
Impact of over-reliance on AI
Education and Training in the age of AI

The ARC Training Centre for Information Resilience (CIRES) hosted over 80 data professionals, executives, managers, AI researchers, and policymakers, to collaborate with academia, the public sector, and industry in mutually advancing the integration of AI into how we learn, our daily life and work environments while promoting information resilience. This event focused on Education and Training for Thriving in the Age of AI.

Symposium Objectives

To explore how AI can be seamlessly integrated into our daily lives and workspaces, enhancing productivity and quality of life.

To explore innovative teaching methods that leverage AI and prepare educators and learners for the age of AI, ensuring effective and relevant education for the future.

To emphasise the importance of continuous learning and adaptability in an AI-driven world towards future-proofing careers.

To share insights from AI-related research conducted by the ARC Centre for Information Resilience.

Program

Details of the 2024 program are available below.

TIME	SESSION	SPEAKER/S
10:45am-11:00am	Arrival, registration, tea & coffee	The Long Room, Customs House
11:00am-11:05am	Welcome & Overview	Associate Professor Hassan Khosravi
11:05am-11:20am	Opening address, CIRES Centre Director	Professor Shazia Sadiq
11:20am-12:30pm	Keynote Talk: Using Artificial Intelligence to Enhance Human Intelligence	Dr Kristen Dicerbo, Chief Learning Officer, Khan Academy
12:30pm-1:15pm	Lunch
1:15pm-2:15pm	Information Resilience Escape Room
2:15pm-3:00pm	Panel Discussion: Future-Proofing Careers: Lifelong Learning in the Age of AI	Moderator: Professor Kelly Matthews, Panel Members: Professor Xiaofang Zhou, Dr Aneesha Bakharia & Professor Jason Tangen
3:00pm-3:15pm	Afternoon Tea
3:15pm-4:00pm	Keynote Talk: Adapting Computing Education for the Age of AI	Associate Professor Paul Denny, The University of Auckland
4:00pm-4:10pm	Closing address	Associate Professor Hassan Khosravi
4:10pm-5:30pm	Networking Drinks & Research Showcase	The River Room, Customs House
5:30pm	Symposium Close	The River Room, Customs House

Speakers

Dr Kristen Dicerbo
Khan Academy
Keynote Speaker (Virtual)
Talk Title: Using Artificial Intelligence to Enhance Human Intelligence
Dr. Kristen DiCerbo is the Chief Learning Officer at Khan Academy, where she leads the content, design, product management, and community support teams. Dr. DiCerbo’s career has focused on embedding insights from education research into digital learning experiences. Prior to her role at Khan Academy, she was Vice-President of Learning Research and Design at Pearson, served as a research scientist supporting the Cisco Networking Academies, and worked as a school psychologist. Kristen has a Ph.D. in Educational Psychology from Arizona State University.
Associate Professor Paul Denny
The University of Auckland
Keynote Speaker
Talk title: Adapting Computing Education for the Age of AI
Paul Denny is an Associate Professor in Computer Science at the University of Auckland, New Zealand. His research interests include developing and evaluating tools for supporting collaborative learning, particularly involving student-generated resources, and exploring the ways that students engage with these environments. His recent work in computing education has explored the implications arising from the emergence of large language models such as Codex. One of his projects, PeerWise, hosts more than six million practice questions, with associated solutions and explanations, created by students from 90 countries. He has fostered a community of educational researchers around this project, more than 160 of whom have published their work as a result.
Paul has been recognized for contributions to teaching both nationally and internationally, receiving New Zealand’s National Tertiary Teaching Excellence Award (2009), the Computing Research and Education Association of Australasia Award for Outstanding Contributions to Teaching (2010), and the QS Reimagine Education Overall Award (2018).
Professor Kelly Matthews
The University of Queensland
Professor Kelly Matthews is a highly respected scholar of higher education curriculum, pedagogy, and student experience, multiple award-winning university teacher, and senior leader collaborating on university-wide teaching, learning, and student experience strategic initiatives.
Her research has shaped the discourse of student voice, arguing for students as partners in higher education. With over 120 academic publications and 80 invited talks, Kelly aims to impact the everyday relational practices of students, academics, and staff associated with connection, care, community, and commitment to collaborative learning.
She is currently the Interim Pro-Vice Chancellor (Teaching & Learning) at The University of Queensland.
Professor Xiaofang Zhou
The Hong Kong University of Science and Technology
Xiaofang Zhou is Otto Poon Professor of Engineering and Chair Professor of Computer Science and Engineering at The Hong Kong University of Science and Technology.
His research focus is to find effective and efficient solutions for managing, integrating and analyzing large-scale complex data for business, scientific and personal applications. He has been working in spatiotemporal databases, data quality management, big data analytics, recommender systems, machine learning and AI, co-authored over 500 research papers.
He was a Professor of Computer Science at the University of Queensland (UQ) from 1999 – 2020, leading its Data and Knowledge Engineering (DKE) research group and the Data Science discipline. Before joining UQ, he was a senior research scientist and leader of the Spatial Information Systems group at CSIRO.
Dr Aneesha Bakharia
The University of Queensland
Dr Aneesha Bakharia, an innovative and versatile professional, began her journey as an electronics engineer before pivoting to a career in educational software development. Her diverse experience spans across the higher education and vocational education sectors, where she has excelled in various technical, innovation project management and learning analytics roles. As an early experimenter with generative AI, Aneesha pioneered the creation of a graphic novel using AI and explored the world of chatbot prompt engineering, demonstrating her commitment to pushing the boundaries of technology. Aneesha is a Senior Lecturer in the School of Electrical Engineering and Computer Science at The University of Queensland.
Professor Jason Tangen
The University of Queensland
Jason Tangen is a Professor of Cognitive Science in the School of Psychology at The University of Queensland.
His research focuses on investigating the cognitive processes involved in learning new skills. For example, working closely with policing and security agencies to help experts interpret evidence more effectively and reduce the amount of time that it takes to train examiners. He takes great pleasure in working across multiple domains from basic visual processes to high level decision making, misinformation, and insight moments.
Associate Professor Hassan Khosravi
The University of Queensland
Welcome and Symposium Chair
Hassan Khosravi is an Associate Professor and Senior Lecturer in Data Science and Learning Analytics at The University of Queensland, and Chief Investigator and Theme Leader with CIRES. As a computer scientist by training, he is passionate about the role of artificial intelligence in the future of education. In his research, he draws on theoretical insights from learning science and exemplary techniques from the fields of human-computer interaction, learning analytics and explainable AI to design, implement, validate and deliver technological solutions that contribute to the delivery of learner-centred, data-driven learning at scale. His past research and publications have addressed a number of diverse topics such as learning graphical models, statistical-relational learning, social network analysis, cybersecurity and game theory.
Professor Shazia Sadiq
The University of Queensland
Opening Address
Shazia Sadiq is the Director of the ARC Training Centre for Information Resilience (CIRES), and a research and education leader in data science at The University of Queensland. Her research track record has focused on overcoming challenges that stem from disparate IT systems and result in information silos, and she has developed new methods that to tackle these challenges through integrated solutions for information quality and effective use. Shazia is passionate about the positive impact emerging technologies from data science, machine learning and artificial intelligence can have on our future. She advocates for the responsible and ethical technology developments and believe strongly that these developments require trans-disciplinary collaborations between research, industry, government and community.