FBL Research - How Does AI Affect the Future of Education and Work?

In what ways can we expect Artificial Intelligence to impact on aspects of higher education such as student equity and research integrity, and what implications do these changes have for students as they move into workplaces? How are we, or how should we be planning to, manage these advances in technology?

In this session, FBL researchers will share insights on how AI is affecting students and their employment outcomes from the different perspectives of organisational psychology, information systems research, teaching and education, and academic support.

This session is intended for staff and students interested in discussing developments in the realm of AI and how they might affect business and law research and teaching in the future. A series of short presentations will be followed by a panel discussion.

This event is presented in conjunction with the Research Office at Curtin as part of Research Rumble 2024. 

Research Rumble is a year-long program of events that invites you to discover how Curtin researchers are helping to solve the world’s next big challenges.

Lunch will be provided.

About the panellists

Professor Patrick Dunlop is an organisational psychology researcher in the Future of Work Institute at Curtin University. He specialises in personnel recruitment, assessment, and selection, conducting research on designing and implementing fair and accurate assessments of job candidates and how new technological developments affects recruitment and selection processes.

Associate Professor Jason Lodge is the Deputy Associate Dean (Academic) in the Faculty of Humanities, Arts, and Social Sciences at the University of Queensland and an ACSES Visiting Fellow. His research focuses on the evolving role of AI in education. He recently served as an expert advisor to the OECD and Australian National Task Force on Artificial Intelligence in Education.

Dr Lee-Von Kim leads the Academic Capability Development and Faculty Learning Engagement teams in the Faculty of Business and Law at Curtin University. As a teaching academic, she focuses on academic language development, assessment and academic integrity. She is a member of Curtin’s AI Taskforce (DVCA) and in 2023 contributed to the Australian Academic Integrity Network Generative AI Working Group’s submission to the Parliamentary Inquiry into the use of generative artificial intelligence in the Australian education system.

Associate Professor Nik Thompson leads the Discipline of Business Information Systems and the Business AI Research Group (BARG). He is a Senior Certified Professional of the Australian Computer Society and a Senior Fellow of the Higher Education Academy. He has previously developed robotics, IoT, and sensor networks, and invented medical technologies for psycho-physiological research and his focus has evolved to Human-Computer Interaction, studying psychological, cognitive, and affective aspects of computer use in areas like cybersecurity and AI.