Students help shape AI in learning with the AI Student Advisory Board

RMIT students and staff recently came together for the inaugural AI Student Advisory Board meeting, sharing insights into how generative AI is shaping learning, teaching and the student experience. 

The Board has been formed to provide a structured student voice on the adoption of generative AI at RMIT. The group is advisory in nature, with input and ideas used to help inform decisions and shape directions across the University. 

Representatives include a diverse range of students, including those studying psychology, social work, business, industrial design, aerospace engineering, information systems and manufacturing and mechatronics engineering. Among them, varying opinions of AI are held, from enthusiastic adopters through to those who prefer minimal AI involvement in their studies. 

The Board is supported by RMIT’s Generative AI Lab for Education (GAILE) and the RAIsE Hub. 

Board Chair and Head of AI – Education at RMIT, Dale Leszczynski said the AI Student Advisory Board will help ensure students play a central role in shaping how AI is adopted across the University. 

“We want to make sure we're not making decisions about AI for students without hearing from students.” 

“The Advisory Board provides an important opportunity to understand how AI is being used across different disciplines and what support students need to use it effectively and responsibly.” 

The first meeting explored what students need to learn, use and thrive with AI during their studies. Members discussed AI's value as a tool for brainstorming, research and design ideation, while emphasising the importance of maintaining ownership of original work and taking responsibility for final outputs. 

Several students observed that much of their AI knowledge had been gained informally through self-directed learning, prompting a discussion about how clearer guidance on approved AI tools could help students navigate a rapidly evolving landscape. 

The group also discussed the growing importance of verification. Members agreed that AI-generated content should be carefully reviewed, with disciplinary expertise remaining essential to evaluate accuracy, context and quality. 

“We’re already using feedback from the meeting to help shape the type of information we share with students, how we communicate about using AI and the type of training and support on offer at RMIT. We’ll also share these insights with the key decision-making groups,” said Dale. 

The AI Student Advisory Board will meet twice each semester and will explore topics ranging from AI and assessment, personalisation and AI, through to how students are using AI to learn. 

Find out more about the AI Student Advisory Board.