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Aaron J Snoswell
Postdoc, School of Communications, Queensland University of Technology
Joined
May 2021
Names
Aaron J Snoswell
(Preferred)
,
Aaron J. Snoswell
Emails
****@uq.edu.au
(Confirmed)
,
****@qut.edu.au
(Confirmed)
,
****@uqconnect.edu.au
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Career & Education History
Postdoc
School of Communications,
Queensland University of Technology
(qut.edu.au)
2021
–
Present
PhD student
University of Queensland
(uq.edu.au)
2017
–
2021
Advisors, Relations & Conflicts
Postdoc Advisor
Jean Burgess
2023
–
Present
Postdoc Advisor
Dan Hunter
2021
–
2023
PhD Advisor
Nan Ye
2018
–
2021
PhD Advisor
Surya Singh
2017
–
2021
Expertise
mechanistic interpretability
,
explainable AI
Present
deep learning
,
machine learning
,
large language models
,
transformers
2021
–
Present
AI safety
,
ethics
,
accountability
,
fairness
,
transparency
2021
–
Present
inverse reinforcement learning
,
imitation learning
,
reinforcement learning
2017
–
2022
Publications
https://dl.acm.org/doi/10.1145/3531146.3533084
Henry L Fraser
,
Aaron J Snoswell
,
Rhyle Simcock
ACM FAccT '22
Readers:
Everyone
Discerning What Matters: A Multi-Dimensional Assessment of Moral Competence in LLMs
Daniel Kilov
,
Caroline Hendy
,
Secil Yanik Guyot
,
Aaron J Snoswell
,
Seth Lazar
FoRLM 2025
Readers:
Everyone
Towards Attuned AI: Integrating Care Ethics in Large Language Model Development and Alignment
Rayane El Masri
,
Aaron J Snoswell
COLM 2025 Workshop SoLaR Poster
Readers:
Everyone
Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles
Thomas Krendl Gilbert
,
Aaron J. Snoswell
,
Michael Dennis
,
Rowan McAllister
,
Cathy Wu
2022 (modified: 15 Apr 2023)
CoRR 2022
Readers:
Everyone
Reward Reports for Reinforcement Learning
Thomas Krendl Gilbert
,
Sarah Dean
,
Nathan Lambert
,
Tom Zick
,
Aaron J. Snoswell
Published: 01 Jan 2022, Last Modified: 27 Apr 2023
CoRR 2022
Readers:
Everyone
AI Opacity and Explainability in Tort Litigation
Henry Fraser
,
Rhyle Simcock
,
Aaron J. Snoswell
Published: 01 Jan 2022, Last Modified: 27 Apr 2023
FAccT 2022
Readers:
Everyone
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning
Aaron J. Snoswell
,
Surya P. N. Singh
,
Nan Ye
Published: 01 Jan 2021, Last Modified: 27 Apr 2023
CoRR 2021
Readers:
Everyone
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
Aaron J. Snoswell
,
Surya P. N. Singh
,
Nan Ye
Published: 01 Jan 2020, Last Modified: 27 Apr 2023
CoRR 2020
Readers:
Everyone
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
Aaron J. Snoswell
,
Surya P. N. Singh
,
Nan Ye
2020 (modified: 16 Sept 2021)
SSCI 2020
Readers:
Everyone
Co-Authors
Caroline Hendy
Cathy Wu
Daniel Kilov
Henry Fraser
Henry L Fraser
Michael Dennis
Nan Ye
Nathan Lambert
Rayane El Masri
Rhyle Simcock
Rowan McAllister
Sarah Dean
Secil Yanik Guyot
Seth Lazar
Surya P. N. Singh
Thomas Krendl Gilbert
Tom Zick