Shaping UQ’s AI future

In early 2023, UQ developed a position and rules for how we respond to the challenges and opportunities presented by the changes in AI. In 2024 these rules were updated to explicitly include Machine Translation (MT).

This work was supported by a range of AI in Teaching and Learning initiatives (PDF, 228.6 KB) and in seminars and workshops.

In early 2025, we are refining our rules and guidance as part of our Lead through Learning project. A seminar presented proposed options to the UQ community in late 2024 with recordings, slides and responses.

(To access these padlet recordings, slides and responses, click 'Log in and retry', then 'continue with Microsoft'.)

UQ's governance of AI and teaching initiatives 

UQ's governance framework ensures alignment of AI and teaching initiatives with the University's strategic goals,  the Learning and Student Experience Roadmap and The Queensland Commitment. This work will be supported through the Lead through Learning project. Key elements of governance include: 

• The DVC(A) oversees these plans in collaboration with the University executive. 
• Faculties and schools contextualise actions to manage diverse disciplinary needs and risks associated with different teaching modes.
• Governance is supported by committees, including the Digital Learning Sub-Committee, Assessment Sub-Committee, Teaching, Learning and Student Experience Committee, Committee for Academic Programs and Policy, and Academic Board. 

These committees, guided by the DVC(A) and senior executives, work with schools and faculties, monitoring assessment and misconduct data, and feedback from staff and students.

This governance ensures our AI initiatives are strategically integrated, continuously evaluated, and responsive to the evolving needs of the University community. 

In responding to TEQSA’s request for information about how UQ is addressing the risk of artificial intelligence, UQ identified key principles to guide our work:

• Employing evidence-informed approaches to understand and respond to the impact of change to teaching, learning and assessment, alongside the evolving experiences of our staff and students.
• Working in partnership with students, staff and community partners to promote a culture of active engagement with AI throughout the entire educational journey.
• Integrating AI across all appropriate aspects of our work, curriculum and teaching to equip graduates with the skills for future AI applications in their disciplines, while also enhancing the quality and efficiency of teaching activities.
• Developing new assessment approaches to maintain credible assessment of learning outcomes and to strengthen assessment integrity in response to emerging AI capabilities. 
• Monitoring assessment practices University-wide to maintain assessment security and credibility alongside student integrity.
• Prioritising student wellbeing and equity of access and reducing anxiety by providing clear and integrated guidelines on acceptable AI use in assessments, particularly at transition points such as first and final years or course work to higher degree research studies. 
• Maintaining data management governance to ensure cybersecurity and the privacy of student and staff data.
• Supporting staff to adapt to the rapid changes required by evolving AI with appropriate guidance and resources.

Staff across UQ are exploring the ways AI can be used to enhance their work. Through 2024 UQ’s communities and networks have had input into UQ’s plans around AI.

In 2025 we will be bringing together new networks of staff to progress UQ’s approaches to ethics and AI and innovation in teaching with AI.

A core principle of the way UQ is responding to AI is to learn with our students. Student-Staff Partnership projects, surveys and focus groups are directly influencing AI policy and decisions at UQ. 

Students and staff from UQ have been doing research to understand AI in education. One thing they learned was that most students want more guidance on using AI in their studies. This work has informed the development of these resources and the AI Student Hub. 

• Winter research students Claudia Maya and Alessandra Tran developed a Guide for students (PDF, 195 KB) and a Guide for staff (PDF, 217.3 KB) based on the focus groups as part of this work. 
• UQ Union and ITaLI worked together to hold student forums about AI (PDF, 722.2 KB)
• UQ students participated in the JISC Student Digital Experience survey in April 2024. 

Students are continuing to inform UQ’s work with AI through: 

• UQ Union advocacy services
• Student-Staff Partnerships 
• Surveys and events to have their say in UQ’s AI rules and strategies.

We welcome your input into UQ’s work with AI in teaching and learning. Please provide any feedback or ideas:

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