Latest events

End-to-end robotics learning: a self-contained tutorial from fundamentals to frontiers

Miguel Balbin — Fri, 05 Sep 2025 10:55:33 +0930

Artificial Intelligence is changing the world, but most AI still exists only in code. Robotics brings AI into the physical world, allowing it to see, move, and interact. AIML hosted a robotics tutorial delivered by our world-class researchers and engineers aimed at undergraduate and postgraduate students, as well as AI engineers.

AIML Research Seminar: Pre-Surgical Diagnostic and Prognostic Prediction in Paediatric Brain Cancer Using Deep Learning

Miguel Balbin — Tue, 09 Sep 2025 11:45:23 +0930

Abstract: Paediatric brain cancer (PBC) is the second most common form of childhood cancer, yet it carries the highest mortality rate. Alongside the mortality rate, many survivors experience intellectual and physical disabilities long into adulthood. A clear, ground-truth diagnosis based upon molecular information can only be obtained from a tumour sample, which in brain cancers often necessitates risky surgery.

AIML Research Seminar: Perceiving Mind in Machine

Miguel Balbin — Tue, 23 Sep 2025 16:35:29 +0930

Humans are prone to anthropomorphising AI, especially as systems grow more human-like. Perceiving mind and agency in machines has raised concerns about trust, attachment, manipulation, and other ethical/behavioural consequences. The potential long-term influences of advancing the human-likeness of machines are profound, likely affecting how we assign moral responsibility or moral significance to entities. Existing theories relating to anthropomorphism, such as Theory of Mind, dimensional models of Mind Perception, the Intentional Stance, and Mindreading, are vexed and overlapping. The state of anthropomorphism theory and lack of ecologically valid empirical work complicate the prediction and interpretation of consequences concerning human-like AI systems. This talk overviews whether the theory can tell us about the consequences of advancing human-like chat/assistant systems and what should make a system more human-like. To better answer such questions and advance empirical work in the field of human-AI interaction more broadly, the talk will introduce chatPsych: an open-source AI interface built to facilitate cognitive/behavioural/psychological research.