Bio

Yulu Pi is a current PhD researcher at the University of Warwick. Her research focuses on enhancing the transparency, contestability, and fairness of AI by integrating concepts and techniques from Human-Computer Interaction (HCI) and cognitive science. Her work not only addresses technical and design issues but also explores how to incorporate ethical principles into AI governance. The aim of her research is to empower those who interact with or are affected by AI by understanding how it can be better designed and regulated. She is also working at The Leverhulme Centre for the Future of Intelligence at the University of Cambridge on the In-Depth EU AI Act Toolkit project. This project aims to design a toolkit for small and medium-sized companies to ensure that ethical and compliance considerations are integrated from the initial stages of AI project ideation through to AI product deployment. Prior to her PhD, she gained experience in governmental and international organizations, including UNICEF and the World Meteorological Organization.

Research interests

Yulu Pi's current research encompasses three interconnected streams, all aimed at empowering those affected by AI: human-centered AI, responsible AI design, and AI governance. Her interdisciplinary work explores the interactions between individuals, society, and AI, along with the policy implications of these interactions. Through leading and collaborating on various projects, she has gained valuable experience working with diverse stakeholders and cross-disciplinary teams both within and outside academia. As an enrichment fellow at Turing, Yulu will work on the final component of her PhD, which focuses on a human-centric approach to AI governance. This approach, grounded in what she terms "interaction-centric knowledge," emphasizes the importance of understanding how people interact with AI to AI governance. By ensuring that AI governance is socially informed, human-centered, and evidence-based, her research aims to create more effective and empowering AI policies.