The Integrated Artificial Intelligence (IAI) Network brings together researchers from different disciplines across ANU whose work focuses on the role of AI in addressing social and scientific problems, as well as utilising AI in creative spaces and cultural practices.
Welcome to the ANU Integrated Artificial Intelligence Network
Artificial Intelligence is revolutionizing our lives, reshaping industries and governments, and promising to transform scientific and cultural practices.
The ANU IAI Network was established to harness and enhance our expertise, research, and engagement in computing, natural and biomedical sciences, social sciences, and culture. Our goal is to bridge disciplinary divides, build networks, and strengthen connections both within and beyond ANU.
We believe in the power of interdisciplinary research and strive to create a welcoming environment for exchanging ideas and challenging conventional wisdom. Our research students and postdoctoral fellows regularly meet to support each other's intellectual growth and career development.
We invite you to explore our website, attend our events, and connect with our members and staff.
Lexing Xie
Director, ANU Integrated AI Network
Professor, ANU School of Computing
Human Machine Interaction
Novel design ideas are important in ensuring human-machine interactions are ethical and inclusive. Our work aims to tackle both the moral and the design components of machines to consider nature and components of moral skill, while also ensuring the agents are value-aligned and non-bias.
Decision Making under Uncertainty
From fundamental research to innovative solutions, ANU hosts a range of initiatives linked to AI decision making under uncertainty.
Regulation and Governance
ANU is a pioneer in the field of regulation and governance, which aims to understand how various actors, governments and institutions shape the course of events in society.
Ethics and Normative Theory
A branch of philosophy that captures the philosophical side of AI Ethics. Our experts investigate areas such as social epistemology of the Internet, philosophy of language applied to social media or AI, and philosophy of science relating to AI and computing.
Creative AI
Creative AI uses innovation in approaching art by merging human creativity with machine intelligence. Our experts use AI to experiment and produce artistic outputs, and also find ways on how AI can support social and cultural change.
Climate Change and AI
Urgent climate change issues require innovation to tackle major future catastrophes. Our research utilises AI as a tool that helps us understand climate change ranging from ocean sea surface temperature (SST) forecasting to predicting the future state of the Great Barrier Reef.
Markets and Computation
The use of AI tools and algorithms in common web platforms and applications has led to unexpected interactions between humans and AI, therefore complicating the market interaction. Our researchers are committed to analysing the outcomes of diverse range of patterns from humans and AI market interaction through tools, designing algorithms, and proposing policies to improve the outcomes of complex market systems.
Robots and Robotics
From theory to application of robotics in human environment, our award-winning researchers are constantly studying ways to use robots as a way to improve society.
AI for Science
Fusing machine learning and artificial intelligence to research in science, our researchers use AI as a tool to find new discoveries and breakthroughs in understanding the natural world.
AI for Biomedicine
ANU researchers are using AI to revolutionise healthcare, and finding solutions to health issues by diagnosing diseases, detecting cancer and finding drug discoveries.
Computer Vision in Context
Computer Vision as a tool to extract important information from image or video presents an opportunity for machines to learn and build. Our specialists develop 3D reconstructions and are capable in building large-scale digital models.
Transdisciplinary AI
Every research problem is approached differently. Our experts find solutions from variety of disciplines and tackle issues relating to AI through diverse lenses or use AI as a resolution.
The Thinking Game screening and panel discussion
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The three questions agencies must ask themselves to use AI responsibly
When it comes to implementing the Government’s new policy on the responsible use of AI, one element in particular will be critical: AI leadership. That’s especially true when it comes to the appointment of ‘accountable officials’. But what matters most when making these appointments? ANU experts Maia Gould and Ellen O’Brien explain.
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Think piece: Statistics at the Interface of Health and AI
Machine learning has a lot offer but also traps people into areas that nobody wants to fall into in statistics
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