The University of Melbourne supports the research and application of Artificial Intelligence across a wide range of domains. Research is conducted using the core components of Artificial Intelligence (AI), including machine learning, natural language processing, robotics and ethical AI to tackle the complex and real-world challenges of our time.
With expertise from across the University in computer science, engineering, healthcare and social sciences, we are able to foster strong interdisciplinary collaborations that drive innovation.
How does AI support research at the University of Melbourne?
At the University of Melbourne our goal is to create meaningful advances in AI research that have real world impact, while fostering a dynamic environment of innovation. Through industry partnerships and government collaborations we ensure our research contributes to practical solutions, including medical diagnostics, sustainable urban planning, text processing for the Victorian Court system, engineering applications and more.
Ongoing examination of fundamental breakthroughs in areas such as deep learning, reinforcement learning and human-AI interaction is critical to ensure AI integration is fair, transparent and accountable
Learn more about our research
We host a diverse range of AI experts, including researchers, entrepreneurs, and industry leaders. By fostering collaboration across academia and business we are able to drive advancements in artificial intelligence. With cutting-edge facilities and a focus on ethical AI, the University of Melbourne plays a crucial role in shaping AI's future.
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AI at Melbourne Connect
Focused on advancing AI research, 'AI at Melbourne Connect' organises research and colloquia on fundamental breakthroughs in deep learning, reinforcement learning, and human-AI interaction to address societal impacts such as fairness, accountability, and transparency.
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Applied AI research in the Faculty of Science
Researchers in AI in the Faculty of Science study and design learning algorithms to analyse data and predict future needs and outcomes in complex networks and systems. This research helps to optimise healthcare systems, transport, communications, agriculture, and industrial processes.
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Centre for Artificial Intelligence and Digital Ethics (CAIDE)
CAIDE aims to build cross-disciplinary research, teaching, policy and regulatory expertise at the University of Melbourne and across the wider community.
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Faculty of Business and Economics AI Hub (BehavAI)
By studying human-AI collaboration through the lens of behavioural science and data analytics BehavAIU lab aims to maximise opportunities for human enhancement and growth, while minimising harm.
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Melbourne Centre for Digital Transformation of Health
CDTH is a research platform and education team working alongside research, clinical, and commercial collaborators to responsibly accelerate digital transformation across healthcare.
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Melbourne Business School Institute for Digital Innovation & AI (IDIA)
IDIA at Melbourne Business School brings together business leaders and academics to translate digital innovation and artificial intelligence into real-world impact.
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Melbourne Data Analytics Platform (MDAP)
MDAP are research specialists developing data-intensive collaborative research across the University of Melbourne upon request.
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School of Computing and Information Systems (CIS)
CIS researchers take many different approaches to AI, including deep learning, data mining, machine learning, natural language processing, and agent-based systems. Findings have real-world applications in diverse areas from cyber-security to health, finance and government.
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Banner image: Alanoach/Wikimedia Commons
First published on 29 May 2026.
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