Aaron J. Snoswell

According to our database, Aaron J. Snoswell authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Discerning What Matters: A Multi-Dimensional Assessment of Moral Competence in LLMs.

Daniel Kilov, Caroline Hendy, Secil Yanik Guyot, Aaron J. Snoswell, Seth Lazar

CoRR, June, 2025

2024

Eliciting patient preferences and predicting behaviour using Inverse Reinforcement Learning for telehealth use in outpatient clinics.

Aaron J. Snoswell, Centaine L. Snoswell, Nan Ye

Frontiers Digit. Health, 2024

2023

Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities.

Aaron J. Snoswell, Lucinda Nelson, Hao Xue, Flora D. Salim, Nicolas Suzor, Jean Burgess

CoRR, 2023

Reward Reports for Reinforcement Learning.

Thomas Krendl Gilbert, Nathan Lambert, Sarah Dean, Tom Zick, Aaron J. Snoswell, Soham Mehta

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles.

Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu

CoRR, 2022

Reward Reports for Reinforcement Learning.

Thomas Krendl Gilbert, Sarah Dean, Nathan Lambert, Tom Zick, Aaron J. Snoswell

CoRR, 2022

AI Opacity and Explainability in Tort Litigation.

Henry Fraser, Rhyle Simcock, Aaron J. Snoswell

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning.

Aaron J. Snoswell, Surya P. N. Singh, Nan Ye

CoRR, 2021

2020

Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms.

Aaron J. Snoswell, Surya P. N. Singh, Nan Ye

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020