Senior Research Fellow in AI Accountability, Queensland University of Technology
I am a computer scientist and research fellow in AI accountability at the Australian Research Council Centre of Excellence for Automated Decision-Making and Society (ADM+S), based at QUT in Brisbane, Australia. My PhD “Modelling and explaining behaviour with Inverse Reinforcement Learning” was awarded in 2022 from The University of Queensland, and developed new theory and algorithms for Inverse Reinforcement Learning in the maximum conditional entropy and multiple intent settings.
My ongoing research is in the development of socio-technical interventions for reducing toxicity in the foundation model machine learning paradigm, looking in particular at the ways sexism and misogyny manifest in large language models. Prior to academia, I worked in industry as a cross-disciplinary mechatronic engineer in doing medical device research and development, pilot and astronaut training, robotics, and software engineering.
As more and more people spend time chatting with artificial intelligence (AI) chatbots such as ChatGPT, the topic of mental health has naturally emerged.
As more and more people spend time chatting with artificial intelligence (AI) chatbots such as ChatGPT, the topic of mental health has naturally emerged.
Malnutrition and frailty in older adults - The importance of screening and early intervention
Tuesday 25th November, 7pm - 9pm AEDT
Speaker
Prof Carol Wham
Dietitian; Professor Emerita of Public Health Nutrition at Massey University, New Zealand
We invite you to our final webcast of 2025, where Prof Carol Wham will speak on frailty and malnutrition in older adults. Earn up to 4 hours CPD. RACGP & ACRRM accredited.
Clinical Articles
