Join us to hear how AI is reshaping engineering education, what’s working, what still needs to shift, and what this means for the future of the profession.
As AI tools become capable of completing full engineering assignments, exams, and projects, universities face urgent questions about how to adapt. This panel brings together academic leaders, teaching staff, and a recent graduate to explore how engineering education is responding, and what this means for students and employers. We’ll hear what’s working, what’s not, and where next.
Our discussion will focus on three key questions:
– How should engineering education evolve now that AI can complete full assignments and exams?
– What impact will AI capability have on graduates’ preparedness for their first roles?
– How are educators, students, and universities navigating the practical challenges of integrating AI into teaching and learning?
Panellists bring perspectives from lecture theatres, research labs, and the workplace:
– Dr David Dempsey, Associate Professor, University of Canterbury, delivering AI training in civil and environmental engineering
– Professor Dale Carnegie, Dean of Engineering, Victoria University of Wellington
– Joshua Rout, PhD candidate and undergraduate tutor, University of Auckland
– Blake Harnois, Graduate Network Engineer, Main Power, implementing AI in engineering practice
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