Rountable results: AI in University Science

The Australian Council of Deans of Science (ACDS) recently convened a roundtable discussion for Deans and Associate Deans of Science to explore the opportunities, challenges and strategic implications of artificial intelligence (AI) for the Australian university science sector.

The discussion highlighted a strong consensus that AI is rapidly becoming a foundational technology that will influence all aspects of university activity, including teaching, research, professional practice and academic leadership. Participants shared practical experiences of using AI to support strategic planning, information synthesis, communication, policy interpretation and decision-making.

  • AI is increasingly being used as a “thought partner” to assist leaders in analysing information, exploring options, testing assumptions and improving the efficiency of routine tasks.
  • The ability to synthesise information from multiple sources and support complex planning was identified as a particularly valuable capability for academic leaders.
  • Emerging AI agents have the potential to transform administrative and professional workflows, provided they can access reliable institutional data and operate within appropriate governance frameworks.
  • Access to advanced AI tools, computing resources and supporting infrastructure is becoming a strategic issue for the university science sector.
  • Participants expressed concern that unequal access to AI capabilities could create significant disparities between institutions.
  • AI is expected to have profound implications for the future science workforce, requiring universities to reconsider graduate capabilities, curricula and approaches to research training.
  • Research integrity, governance, ethics and responsible deployment remain critical considerations as AI becomes more deeply embedded in university activities.
  • There is a need to manage different levels of staff engagement with AI, including both technical and cultural aspects of the challenge.
  • Effective institutional adoption will require ongoing investment in staff capability, AI literacy and organisational change management.

Participants agreed that science faculties have an important leadership role to play in helping universities navigate the opportunities and risks associated with AI. As both major users and developers of AI technologies, science disciplines are uniquely positioned to inform institutional strategy, contribute to policy development and prepare graduates for an AI-enabled workforce.

The discussion also highlighted the need for stronger national conversations about AI capability, research infrastructure, sovereign capacity and the long-term implications of AI for Australia’s scientific enterprise.

ACDS will continue to facilitate discussion and collaboration on AI-related issues affecting the university science sector. Areas identified for future attention include:

  • the future science workforce and graduate capabilities;
  • AI-enabled research and research training;
  • access to AI tools, infrastructure and computing resources;
  • governance, ethics and responsible AI adoption;
  • leadership capability and AI literacy; and
  • mechanisms for sharing good practice across institutions.

ACDS members agreed that AI is likely to remain a strategic priority for university science leaders and should remain a recurring focus of future sector discussions.

Professor Brian Yates, Director of Strategic Communications and Engagement

ACDS Executive

October 2026