Jacqueline Rowe

Jacqueline Rowe is a researcher in Natural Language Processing (NLP), a subfield of artificial intelligence focused on how machines understand and generate human language. Her work centres on designing AI systems that are safer, fairer, and more equitable, particularly for marginalised communities.

She is currently a PhD researcher at the University of Edinburgh’s School of Informatics, where her research focuses on developing computational tools to evaluate and reduce social biases in large language models (LLMs). Her work also includes machine translation for low-resource languages, human-in-the-loop approaches to AI evaluation, and bridging interdisciplinary divides between AI ethics and technical practice.

Prior to her PhD, Jacqueline worked for several years at GPD and Chatham House. As GPD’s Policy Lead, her work focused on online content moderation and platform governance, examining the human rights impacts of laws and policies related to hate speech, disinformation, and age-inappropriate content. She holds a BA in Linguistics from the University of Cambridge, an LLM in Human Rights from Birkbeck, University of London, and an MSc in Computer Science with Speech and Language Processing from the University of Sheffield.