Industry participants will have the opportunity to share how AI is currently being used in professional practice, discuss emerging opportunities and risks, and hear how other organisations are approaching AI adoption, professional judgement, workforce preparation, and responsible use. Following the symposium, participants will receive a concise synthesis of key insights, including current and emerging workplace AI uses, capability needs, areas of concern, and implications for graduate readiness. This synthesis will enable organisations to compare their own AI practices, future plans, and capability expectations with those of the broader participant group, providing a useful reference point for internal discussions about responsible AI use, graduate onboarding, placement supervision, recruitment, and workforce development.
For the university, the symposium will provide direct insight into the capabilities future graduates will need in an AI-enabled workplace and the areas where AI should be embedded, limited, or critically examined in learning, assessment, placement, and professional preparation. In the longer term, these insights will support more evidence-informed curriculum decisions, strengthen alignment between university learning design and evolving workplace expectations, and contribute to the development of graduates who can use AI responsibly, critically, and effectively in professional contexts.
Important Notes:
Research data will be collected throughout the event. Data published will be anonymised. By participating, you agree to the data collection.
Tickets are limited. A maximum 2 tickets per company or university (outside of UOW)
Parking vouchers are only applicable to industry registrations, and only to those who have registered by the RSVP date, and provided the required information when booking
Event Organisers:
A/Prof Sasha Nikolic, UOW (Chair) Prof Muhammad Hadi, UOW A/Prof Qinghua Guo, UOW
Dr Jon Roberts, UOW Dr Lynn Sheridan, UOW Julie Curcio, UOW
Dr Helen Fairweather, Engineers Australia
This event has been supported by a UOW Co-lab grant
