Stuart Burrell is Director of AI Research and Innovation at Visa, where he leads the Frontier AI Unit within the Risk and Security AI Lab. His team develops next-generation machine learning systems for Visa's global payment network, focusing on large-scale payments foundation models, multimodal reasoning, fairness, robustness, machine-generated text detection, and adaptive AI under distribution shift. His team's work spans theoretical AI foundations to practical deployment, with research publications at venues such as AISTATS and ICLR and production models that protect billions of transactions. Prior to joining Visa, Stuart was an AI Research Scientist and Engineer at Featurespace, a machine learning start-up specializing in fraud detection and financial crime prevention, which was acquired by Visa in 2024. Stuart holds a PhD in Pure Mathematics from the University of St Andrews and an MPhil in Machine Learning from the University of Cambridge.
AI systems in high-stakes domains such as consumer finance must remain reliable as data distributions shift, regulations evolve, and new patterns emerge at scale. In this session, Dr Stuart Burrell, Director of AI Research & Innovation share advances in building adaptive AI systems that maintain both performance and fairness in production environments. Drawing on research across fraud detection, credit decisioning, and vision–language models, the session explores core challenges and demonstrates how principled fairness research can deliver measurable reductions in bias while maintaining performance at global payments scale.
• Bias can emerge collectively in complex multi-agent AI systems.
• Traditional test-time adaptation may worsen disparities under distribution shift.
• Novel adaptation methods and fairness monitoring enables equitable AI at production scale.
Check out the incredible speaker line-up to see who will be joining Stuart.
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