Aaron J Snoswell

Aaron is a computer scientist and research fellow in AI accountability at the ADM+S Center, based at QUT in Brisbane, Australia.
His 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.
His 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, Aaron worked in industry as a cross-disciplinary mechatronic engineer in doing medical device research and development, pilot and astronaut training, robotics, and software engineering.

model collapse, generative AI
AI/Machine Learning

An expert explains the likelihood of doomsday scenarios for AI model collapse

- August 20, 2024 4 MIN READ

Artificial intelligence (AI) prophets and newsmongers are forecasting the end of the generative AI hype, with talk of an impending catastrophic “model collapse”. But how realistic are these predictions? And what is model collapse anyway? Discussed in 2023, but popularised more recently, “model collapse” refers to a hypothetical scenario where future AI systems get progressively… Read more »

Short Circuit Number 5
AI/Machine Learning

When Silicon Valley talks about ‘AI alignment’ here’s why they miss the real issues

- July 17, 2023 4 MIN READ

As increasingly capable artificial intelligence (AI) systems become widespread, the question of the risks they may pose has taken on new urgency. Governments, researchers and developers have highlighted AI safety. The EU is moving on AI regulation, the UK is convening an AI safety summit, and Australia is seeking input on supporting safe and responsible… Read more »