Research Programme on AI & Work
This programme supports research in the sphere of AI & Work.
Andrew Bean
DPhil Student
Andrew Bean
DPhil Student
Andrew is a DPhil student in Social Data Science at the OII. His research focuses on cooperative artificial intelligence. He studies potential types of human-AI cooperation, the nature of those interactions, and necessary developments to enable that cooperation. On the technical side, he has studied applied machine learning, especially reinforcement learning and natural language processing, for their applications to developing AI.
Andrew holds a B.S. in Applied Mathematics from Yale University and an MSc in Social Data Science from the OII. He is a Clarendon Scholar and was previously a Thouron Prize winner at the University of Cambridge (Pembroke College).
Cooperative AI, artificial intelligence, reinforcement learning, machine learning
This programme supports research in the sphere of AI & Work.
A data-driven approach to understanding structural determinants of digital inequalities
Our work investigates applications of large language models (LLMs) in healthcare settings, with a particular focus on interactions between LLMs and human users. The project focuses on LLMs for medical self-diagnosis.
16 December 2024
Ten Oxford Internet Institute (OII) DPhil students have received Dieter Schwarz Foundation (DSF) funding to enable them to begin 12-month AI- related research projects during the course of their studies.
6 December 2024
Several researchers and DPhil students from the Oxford Internet Institute, University of Oxford, will head to Vancouver for the Thirty-Eighth annual Conference on Neural Information Processing Systems (NeurIPS) from 10-15 December 2024.
27 October 2023
The OII is leading the debate on Artificial Intelligence. Generative AI has been a key area of interest for faculty, researchers and students for many years. This article brings together some of this work to date and highlights forthcoming work.
Senior Research Fellow
Luc conducts human-centred computing research to understand how data and algorithms impact society. They work to make digital power visible to the public and guide the development of accountable, sustainable, and safe algorithms for all.
Departmental Research Lecturer
Adam Mahdi’s research focuses on digital health and application of machine learning in social sciences. He is the director of the UKRI-funded OxCOVID19 Project and a fellow at Wolfson College, University of Oxford.