Dr Adrian Weller

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Adrian Weller

Position

Programme Director for Safe and Ethical AI

Partner Institution

University of Cambridge

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Research areas

Social data science Privacy & trust Statistical methods & theory High dimensional inference Causality Combinatorics Computer systems & architectures Human computer interface Artificial intelligence Neural networks Applied mathematics Information theory (Applied mathematics) Machine learning Reinforcement learning Unsupervised learning Supervised learning Semi-supervised learning Pattern recognition Deep learning Computer vision Applications (Machine learning)

Bio

Adrian Weller is a Programme Director and Turing Fellow leading work on Safe and Ethical AI at The Alan Turing Institute, the UK national institute for data science and AI. Adrian is a Director of Research in Machine Learning at the University of Cambridge, and at the Leverhulme Centre for the Future of Intelligence where he is Programme Director for Trust and Society. His interests span AI, its commercial applications and helping to ensure beneficial outcomes for society. He serves on several boards including the advisory board for the Centre for Data Ethics and Innovation. He received an MBE for services to digital innovation in 2022. Previously, Adrian held senior roles in finance.

Event speaker

Turing Research

Organiser

Turing Publications

One-network Adversarial Fairness

T. Adel, I. Valera, Z. Ghahramani and A. Weller. One-network Adversarial Fairness. In the Association for the Advancement of Artificial Intelligence conference (AAAI), 2019.

Unifying Orthogonal Monte Carlo Methods

K. Choromanski*, M. Rowland*, W. Chen and A. Weller. Unifying Orthogonal Monte Carlo Methods. To appear in the International Conference on Machine Learning (ICML), 2019 [*equal contribution].