15 citations · 25 across the 5 of their papers we have counts for
6 papers
Discerning What Matters: A Multi-Dimensional Assessment of Moral Competence in LLMs
Daniel Kilov, Caroline Hendy, Secil Yanik Guyot +2
Moral competence is the ability to act in accordance with moral principles. As large language models (LLMs) are increasingly deployed in situations demanding moral competence, ther…
Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities
Aaron J. Snoswell, Lucinda Nelson, Hao Xue +3
Generic `toxicity' classifiers continue to be used for evaluating the potential for harm in natural language generation, despite mounting evidence of their shortcomings. We conside…
Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles
Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis +2
Autonomous Vehicles (AVs) will have a transformative impact on society. Beyond the local safety and efficiency of individual vehicles, these effects will also change how people int…
Reward Reports for Reinforcement Learning
Thomas Krendl Gilbert, Nathan Lambert, Sarah Dean +2
Building systems that are good for society in the face of complex societal effects requires a dynamic approach. Recent approaches to machine learning (ML) documentation have demons…
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning
Aaron J. Snoswell, Surya P. N. Singh, Nan Ye
Multiple-Intent Inverse Reinforcement Learning (MI-IRL) seeks to find a reward function ensemble to rationalize demonstrations of different but unlabelled intents. Within the popul…
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
Aaron J. Snoswell, Surya P. N. Singh, Nan Ye
We provide new perspectives and inference algorithms for Maximum Entropy (MaxEnt) Inverse Reinforcement Learning (IRL), which provides a principled method to find a most non-commit…