The Alan Turing Institute is the leading institute for data science and AI research in the UK. The scheme is open to all PhD students in the UK. The Enrichment scheme is designed to give students the opportunity to enhance, refresh, and broaden their research with The Alan Turing Institute’s community and in recognition of their place within the UK’s growing data science and AI research community.

Yulu is a third-year PhD student at CIM, supervised by Prof. Cagatay Turkay. 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.

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 inform 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.