Charlotte's work will focus on AI ethics in creative spaces, such as the interdisciplinary discussions about computational creativity as a tool for enhancing AI ethics, generative models, and human-algorithm collaboration.

Andrew is interested in understanding the psychological and sociological effects technology has on moral reasoning and character and hopes to provide a framework to better understand these connections.

This research focuses on integrating knowledge into language models and enhancing their reasoning abilities. Specifically, exploring legal information extraction as a foundational step in advancing natural language processing for the legal domain.

This project incorporates a psychological perspective on AI ethics to inform the moral/ethical design of AI systems in the near future, paying special attention to human moral judgments and intuitions towards artificial agents.

This project explores the responsible usage of AI, in particular, learning to identify and mitigate bias and algorithmic (un)fairness. It looks to prevent the potential reinforcement and amplification of harmful existing human biases with applications to credit access and the financial industry.

This research develops a comprehensive responsibility framework to enable stakeholders involved in the design, development, and deployment of decision-making algorithms and autonomous systems to effectively govern and take responsibility for the outcomes of those systems in fields such as health, robotics, and finance

This project explores what the philosophy of science and in particular, the history and philosophy of measurement, can contribute to our understanding of the social and ethical implications of machine learning.