Bio
Carolyn is a Senior Research Associate in Safe and Ethical AI within the Turing’s AI Programme. Her research focuses on improving the societal impacts of machine learning and related technologies, including topics in AI governance, responsible machine learning, and algorithmic fairness. Her technical fairness research focuses on using causal models to formalise incentives for fairness related behaviours. Carolyn recently co-organised the NeurIPS workshop on Navigating the Broader Impacts of AI Research, and has taught the OxAI course on AI Ethics and Society at Oxford. Previously, she worked as a Senior Research Scholar at Oxford’s Future of Humanity Institute, and as a data and research scientist in various roles within government and finance. She holds a PhD in mathematics from the University of Bath.
Research interests
- Algorithmic fairness
- Responsible machine learning
- AI governance
- The role of the machine learning research community in navigating the broader impacts of AI