Liza Tennant

Liza Tennant

PhD candidate in Computer Science at UCL, working on machine morality

Publications

Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents

Published in arXiv preprint, 2024

In this paper, we present a study of the learning dynamics of morally heterogeneous populations interacting in a social dilemma setting. We observe several types of non-trivial interactions between pro-social and anti-social agents, and find that certain classes of moral agents are able to steer selfish agents towards more cooperative behavior.

Recommended citation: Tennant, E., Hailes, S., Musolesi, M. (2023). "Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents." arXiv 2403.04202 https://arxiv.org/html/2403.04202v2

Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning

Published in The 32nd International Joint Conference On Artificial Intelligence (IJCAI'23), 2023

We define (reinforcement) learning agents based on various classic moral philosophies, and study agent behaviours and emerging outcomes in (multi-agent) social dilemma settings.

Recommended citation: Tennant, E., Hailes, S., Musolesi, M. (2023). "Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning." The 32nd International Joint Conference On Artificial Intelligence (IJCAI'23) https://doi.org/10.24963/ijcai.2023/36

Monotasking or Multitasking: Designing Tasks for Crowdworkers’ Preferences.

Published in CHI’19 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

This paper is about the behaviours, experiences and preferences of crowdworkers, from a Human-Computer Interaction perspective.

Recommended citation: Lascău, Gould, Cox, Karmannaya, Brumby. (2018). "Monotasking or Multitasking: Designing Tasks for Crowdworkers’ Preferences." CHI’19 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, New York. https://doi.org/10.1145/3290605.3300649