Dr Aaron Snoswell
Contact details are only visible to registered journalists. To register click hereSenior Research Fellow in AI Accountability (School of Communication)
Queensland University of Technology (QUT)
Brisbane, QLD, Australia
Expertise
AI accountability, AI ethics, AI governance, AI regulation, Generative AI, GenAI, Large Language Model (LLM) design, Large Language Model (LLM) training, Large Language Model (LLM) evaluation, Large Language Model (LLM) testing, AI opacity, AI bias, AI transparency, AI toxicity, AI watermarking, Machine Learning, Data ScienceMedia
More Media Info
Previous media experience
Numerous radio interview (JJJ Hack, ABC drive time, Regional and local). A few TV interviews (don't enjoy these). Lots of Conversation and general audience articles (commissioned and pitched).
Links to media clippings
Biography
Dr Aaron Snoswell is a computer scientist and senior research fellow in AI accountability at the QUT Generative AI Lab based in the QUT Faculty of Creative Industries, Education and Social Justice (School of Communication) and affiliated with the QUT Digital Media Research Centre (DMRC) and ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S).Aaron’s research uses computational and socio-technical approaches to investigate the cultural and social impacts of Generative AI. His work includes development of measurement and mitigation frameworks for toxicity in Large Language Models (LLMs); co-designing industry and policy responses to Generative AI’s rapid integration across society; mapping how academic practice is changing as a result of generative AI; using Explainable AI methodologies and moral philosophy frameworks to understand how logical and moral reasoning processes work (or don’t) in AI language agents; and studying the socio and cultural well-being implications of companion and wellbeing chat-bots.
Aaron received his PhD in 2022 from University of Queensland, and his thesis developed new theory and algorithms for the problem of Inverse Reinforcement Learning. Prior to academia, Aaron worked in industry as a cross-disciplinary mechatronic engineer in medical device research and development, pilot and astronaut training, robotics, and software engineering.
Personal info
Web links:
Gender:
Male
Pronouns:
he/him
ResearcherID/ORCID iD:
0000-0003-0960-0144
Last updated: 25 Nov 2025