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Christopher Burr

Ethics Fellow, Alan Turing Institute

Dr Christopher Burr is an Ethics Fellow of the Alan Turing Institute’s Public Policy Programme. His research expertise includes responsible research and innovation (with a specific focus on data science and AI in the public sector), data ethics, public policy, and philosophy of cognitive science.

He has worked alongside and advised policy makers and civil servants, including the Ministry of Justice, Office for Artificial Intelligence, Information Commissioner’s Office, Centre for Data Ethics and Innovation, the Department for Digital, Culture, Media and Sport, and the Department of Health and Social Care. His research has also been featured on BBC Radio 4, the New York Times, the Guardian, and Vox.

Dr Burr is the Principal Investigator of a UKRI-funded project, supported by the Trustworthy Autonomous Systems Hub, titled ‘Ethical Assurance of Digital Mental Healthcare’. The goal of this project is to develop a method of assuring ethical goals and claims associated with the design, development, deployment, and use of data-driven technologies in mental healthcare. The project is also supported by the IEEE’s Industry Connections Program, where he chairs a programme on the same topics.

Prior to joining the Alan Turing Institute, Dr Burr was a Postdoctoral Research Associate at the Oxford Internet Institute, University of Oxford. He remains a research affiliate of the University of Oxford's Wellbeing Research Centre.

Experience

  • 2020–present
    Ethics Fellow, Alan Turing Institute
  • 2019–2020
    Senior research associate, Alan Turing Institute
  • 2018–2019
    Postdoctoral research associate, University of Oxford
  • 2017–2018
    Postdoctoral research associate, University of Bristol

Education

  • 2017 
    University of Bristol, PhD Philosophy of Cognitive Science

Grants and Contracts

  • 2021
    A participatory approach to the ethical assurance of digital mental healthcare
    Role:
    Principal Investigator
    Funding Source:
    UKRI Trustworthy Autonomous Systems Hub