Hannah is a 3rd year DPhil student in Social Data Science at the OII. Hannah’s research centres on the role of granular and diverse human feedback for aligning large language models. At the core of all her research into AI, she is motivated by the prompt “who decides how AI systems behave”, and appreciates both technical and AI governance answers to this thorny question. Her body of published work spans computational linguistics, computer vision, ethics and sociology, addressing a broad range of issues such as AI alignment, bias, fairness, and hate speech from a multidisciplinary perspective.
Hannah holds degrees from the University of Oxford (MSc), the University of Cambridge (BA) and Peking University (MA). She is currently a visiting academic at New York University.
Alongside academia, she collaborates often with industry projects at Google, OpenAI and MetaAI, and previously worked as a Data Scientist in the online safety team at The Alan Turing Institute.
Artificial Intelligence; Machine Learning; NLP; Active Learning; Adversarial Learning; Online Harms; Hate Speech