From fundamental research to innovative solutions, ANU hosts a range of initiatives linked to AI decision making under uncertainty. Our award winning Network members develop tools and systems where AI make deliberate decisions in the presence of uncertainty, as well as formulate planning systems and algorithms.
Robust Decision Making and Learning Lab
The Robust Decision Making and Learning Lab (RDL@ANU) focused on the design and development of algorithms to enable robust decision theory becomes practical computational tools for robotics and related domain.
Photo: ANU
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
Learn more
Contact
Alice Richardson
Decision Making Under Uncertainty
Charles Gretton
Executive member
AI for Science, Decision Making Under Uncertainty, Governance and Regulation, Market and Computation, Robots and Robotics
Emi Tanaka
AI for Science, Decision Making Under Uncertainty
Kate Henne
Executive member
Decision Making Under Uncertainty, Governance and Regulation, Human Machine Interaction, Transdisciplinary Practise
Hanna Kurniawati
Decision Making Under Uncertainty, Robots and Robotics
Mohammad Yousefi
Decision Making Under Uncertainty
Edward Kim
Decision Making Under Uncertainty, Robots and Robotics
Ziyu Chen
AI for Science, Decision Making Under Uncertainty, Ethics and Normative Theory
Yuen Kuen Cheung
Decision Making Under Uncertainty, Human Machine Interaction, Market and Computation
Anne Ozdowska
Creative AI, Decision Making Under Uncertainty, Human Machine Interaction, Transdisciplinary Practise