With Brent Mittelstadt and Sandra Wachter, Chris coordinates the Governance of Emerging Technologies (GET) Research Programme, investigating the legal, ethical, and social aspects of AI, machine learning, and other emerging technologies.
Dr Chris Russell
Research Associate
Profile
Dr Chris Russell is 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. His recent 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”. He was one of the first researchers to propose the use of causal models in reasoning about fairness (namely Counterfactual Fairness), and continues to work extensively on computer vision, where he has won best paper award in two of the largest conferences BMVC and ECCV.
Research Interests:
Algorithmic Fairness, Explainable AI, machine learning, computer vision
Research
Current projects
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A Right to Reasonable Inferences in Advertising and Financial Services
Participants: Professor Sandra Wachter, Dr Brent Mittelstadt, Dr Silvia Milano, Dr Johann Laux, Dr Chris Russell
This project uses legal and ethical analysis to establish the requirements for applying a ‘right to reasonable inferences’ in Europe to protect against privacy-invasive and discriminatory automated decision-making in advertising and financial services.
Past projects
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Explaining black-box decisions
Participants: Professor Sandra Wachter, Dr Brent Mittelstadt, Dr Chris Russell
This project transforms the concept of counterfactual explanations into a practically useful tool for explaining automated black-box decisions.
News
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New research to explore governance of emerging technologies
16 December 2019
The Oxford Internet Institute, part of the University of Oxford, is undertaking a new research programme exploring the Governance of Emerging Technologies (GET).