Chris Russell is the Dieter Schwarz Associate Professor, AI, Government and Policy.
Dr Russell’s work lies at the intersection of computer vision and responsible AI. His career to date illustrates a commitment to exploring the use of AI for good, alongside responsible governance of algorithms.
His recent work on mapping for autonomous driving won the best paper award at the International Conference on Robotics and Automation (ICRA). He has a wide-ranging set of research interests, having worked with the British Antarctic Foundation to forecast arctic melt; as well as creating one of the first causal approaches to algorithmic fairness. His work on explainability with Sandra Wachter and Brent Mittelstadt of the OII is cited in the guidelines to the GDPR and forms part of the TensorFlow “What-if tool”.
Dr Russell has been a research affiliate of the OII since 2019 and is a founding member of the Governance of Emerging Technology programme, a research group that spans multiple disciplines and institutions looking at the socio-technical issues arising from new technology and proposing legal, ethical and technical remedies. Their research focuses on the governance and ethical design of algorithms, with an emphasis on accountability, transparency, and explainable AI.
Prior to joining the OII, he worked at AWS, and has been a Group Leader in Safe and Ethical AI at the Alan Turing Institute, and a Reader in Computer Vision and Machine Learning at the University of Surrey.
Algorithmic Fairness, Explainable AI, machine learning, computer vision.
This programme supports research on AI, Government and Policy.
This project will develop useful and responsible machine learning methods to achieve real-world early detection and personalised disease outcome prediction of inflammatory arthritis.
This OII research programme investigates legal, ethical, and social aspects of AI, machine learning, and other emerging information technologies.
20 November 2023
Large Language Models (LLMs) pose a direct threat to science, because of so-called ‘hallucinations’ and should be restricted to protect scientific truth, says a new paper from leading AI researchers at the Oxford Internet Institute.
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.
7 June 2023
The Oxford Internet Institute (OII) has appointed Chris Russell as Dieter Schwarz Associate Professor, AI, Government and Policy.
21 April 2021
A new method to detect discrimination in AI and machine learning systems created by academics at Oxford Internet Institute, has been implemented by Amazon in their bias toolkit, ‘Amazon SageMaker Clarify’, for use by Amazon Web Services customers.
The Sun, 22 November 2023
ARTIFICIAL intelligence is a good tool for many reasons, but some of its built-in issues could lead to dangerous situations, experts warned.
Euronews, 20 November 2023
Oxford researchers warn that AI chatbots pose a risk to science.
Wired, 08 February 2023
Medical systems disproportionately fail people of color, but a focus on fixing the numbers can actually lead to worse outcomes.
