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.

Yuxin’s project explores the complications underlying the concept of AI moral enhancement – the process of attempting to improve human moral capacity through external, technological means.

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.

Bhargavi’s research aims to understand the role of regulatory, organizational, and professional modes of governance in bridging potential accountability ‘gaps’ generated by emerging technologies like AI.