OII | Dr Chris Russell

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About
Positions at the OII
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Research
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About

Chris Russell has been a research affiliate at OII and a member of the Governance of Emerging Technology programme since 2019, where he works primarily on algorithmic fairness and Explainable AI. 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”. 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. Dr Russell has worked at AWS since 2020. Prior to this, he was 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.

Research Interests

Algorithmic Fairness, Explainable AI, machine learning, computer vision.

Positions at the OII

Research Associate, December 2019 -

Contact

christopher.m.russell@gmail.com

Research

Projects

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Programme on the Governance of Emerging Technologies

This OII research programme investigates legal, ethical, and social aspects of AI, machine learning, and other emerging information technologies.

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Trustworthiness Auditing for AI

This project will evaluate the effectiveness of accountability tools addressing explainability, bias, and fairness in AI. A ‘trustworthiness auditing meta-toolkit’ will be developed and validated via case studies in healthcare and open science.

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A Right to Reasonable Inferences in Advertising and Financial Services

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 service

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News & Press

Blogs & Press releases

AI modelling tool developed by Oxford academics incorporated into Amazon anti-bias software

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.

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New approach needed to address bias in machine learning and AI systems, say Oxford legal and AI ethics experts

8 March 2021

Leading experts in ethics and law from the Oxford Internet Institute (OII) believe that the ways AI systems are commonly designed to measure bias and fairness clash with the fundamental aims of EU non-discrimination law.

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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).

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Could Counterfactuals Explain Algorithmic Decisions Without Opening the Black Box?

15 January 2018

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Press Coverage

Health Care Bias Is Dangerous. But So Are ‘Fairness’ Algorithms

Wired, 8 February 2023

Medical systems disproportionately fail people of color, but a focus on fixing the numbers can actually lead to worse outcomes.

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Profile Contents

About

Research Interests

Positions at the OII

Contact

Research

Projects

Programme on the Governance of Emerging Technologies

Trustworthiness Auditing for AI

A Right to Reasonable Inferences in Advertising and Financial Services

News & Press

Blogs & Press releases

AI modelling tool developed by Oxford academics incorporated into Amazon anti-bias software

New approach needed to address bias in machine learning and AI systems, say Oxford legal and AI ethics experts

New research to explore governance of emerging technologies

Could Counterfactuals Explain Algorithmic Decisions Without Opening the Black Box?

Press Coverage

Health Care Bias Is Dangerous. But So Are ‘Fairness’ Algorithms

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