Adrian Weller is Programme Director for Trust and Society at the CFI. He is also a Principal Research Fellow in Machine Learning at Cambridge, and Programme Director for AI at The Alan Turing Institute, the UK national institute for data science and AI, where he is a Turing Fellow leading work on safe, ethical and trustworthy AI.
His interests span AI, its commercial applications, and helping to ensure beneficial outcomes for society. He serves on several boards including the Centre for Data Ethics and Innovation. He is co-director of the European Laboratory for Learning and Intelligent Systems (ELLIS) programme on Human-centric Machine Learning, a member of the UNESCO Ad Hoc Expert Group on the Ethics of AI and a member of the IEEE Standards Working Group on Explainable AI.
Previously, Adrian held senior roles in finance.
“Computing Power and the Governance of Artificial Intelligence” by Girish Sastry, Lennart Heim, Haydn Belfield, Markus Anderljung, Miles Brundage, Julian Hazell, Cullen O’Keefe, Gillian K. Hadfield, Richard Ngo, Konstantin Pilz, George Gor, Emma Bluemke, Sarah Shoker, Janet Egan, Robert F. Trager, Shahar Avin, Adrian Weller, Yoshua Bengio, Diane Coyle. To be released 14 Feb 2024.
A Weller ‘Comment: Humans can’t escape accountability for decisions made by artificial intelligence’ Daily Telegraph 27/11/2020
M Bakker, D P Tu, K P Gummadi, A Pentland, K Varshney & A Weller Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds. In: Artificial Intelligence, Ethics, and Society (AIES), 2021
J Zerilli & A Weller ‘The Technology’. In: The Law of Artificial Intelligence (eds.) M Lavy & M Hervey (2020) Sweet & Maxwell. ISBN: 9780414074149
V Likhosherstov, J Davis, K Choromanski, A Weller CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices. In: Proceedings of the 24th International Appendix A 4 Conference on Artificial Intelligence and Statistics, PMLR, 2021 http://proceedings.mlr.press/v130/likhosherstov21a/likhosherstov21a.pdf
This project is developing processes to ensure that AI systems are transparent, reliable and trustworthy. As AI systems are widely deployed in real-world settings, it is critical for us to understand the mechanisms by which they take decisions, when they can be trusted to perform well, and when they may fail. This project addresses these […]
There is great interest in artificial intelligence: its capabilities, opportunities, ethical concerns, and implications for human flourishing. Yet current conversations often fail to engage with a broad range of religious stakeholders and faith communities. This risks ignoring a central aspect of many people’s moral perspective, and centuries of spiritual wisdom, philosophy, and ethical thinking which […]
