- Burr, C., and David L. (2021). Ethical Assurance: A Practical Approach to the Responsible Design, Development, and Deployment of Data-Driven Technologies. ArXiv:2110.05164 Cs.CY, pp. 1–54.
- Dewhurst, J., and Burr, C. (Online First). Normative Folk Psychology and Decision Theory. Mind and Language.
- Burr, C., Morley, J., Taddeo, M., & Floridi, L. (2020). Digital Psychiatry: Risks and Opportunities for Public Health and Wellbeing. IEEE Transactions on Technology and Society, 1(1), pp. 21–33.
- Burr, C., Taddeo, M., & Floridi, L. (2020). The Ethics of Digital Well-Being: A Thematic Review. Science and Engineering Ethics. doi: 10.1007/s11948-020-00175-8
- Morley J, Machado CCV, Burr C, Cowls J, Joshi I, Taddeo M, Floridi L. (2020). The ethics of AI in health care: A mapping review. Social Science & Medicine. 260, 113172.
- Burr, C., & Cristianini, N. (2019). Can Machines Read our Minds? Minds and Machines, 29(3), pp. 461–494.
- Tabor, A., & Burr, C. (2019). Bayesian Learning Models of Pain: A Call to Action.Current Opinion in Behavioral Sciences, 26, pp. 54-61.
- Burr, C., Cristianini, N. and Ladyman, J. (2018). An Analysis of the Interaction Between Intelligent Software Agents and Human Users. Minds and Machines, 28(4), pp. 735–774.
- Burr, C. & Jones, M. (2016). Body as Laboratory: Prediction-Error Minimisation, Embodiment and Representation. Philosophical Psychology, 29(4), pp. 586–600.
- Burr, C., & Floridi, L. (2020). Ethics of Digital Well-Being. Springer.
- Burr, C., & Milano, S. (2020). The 2019 Yearbook of the Digital Ethics Lab. Springer.
- Burr, C., & Floridi, L. (2020). The Ethics of Digital Well-Being: A Multidisciplinary Perspective. In C. Burr and L. Floridi (Eds.) Ethics of Digital Well-Being. Springer.
- Burr, C., & Morley, J. (2020). ‘Empowerment or Engagement? Digital Health Technologies for Mental Healthcare’. In C. Burr and S. Milano (Eds.) The 2019 Yearbook of the Digital Ethics Lab, pp. 67–88.
- Burr, C. (2017). “Embodied Decisions and the Predictive Brain”. In Metzinger, T., and Wiese, W. (Eds.) OpenMIND: The Philosophy of Predictive Processing.
- Burr, C. (2016). Embodied Decisions and the Predictive Brain. University of Bristol.
- Burr, C., & Keeling, G. (2018). Building machines that “learn and think” about morality. In Proceedings of the Society for Artificial Intelligence and the Simulation of Behaviour (AISB 2018).
Policy Reports and Submissions
- AI, human rights, democracy and the rule of law: A primer prepared for the Council of Europe – Alan Turing Institute (2021)
- Response to National Data Strategy - Alan Turing Institute (2020)
- Artificial Intelligence: How to get it right (Chapter 3: Developing the Governance Framework) - NHSX (2019)
- Burr, C. (2016). “Review of Unifying the Mind: Cognitive Representations as Graphical Models by David Danks”, Philosophical Psychology, 29(5), pp. 789–791.
Teaching and Training Materials
Recent Talks and Presentations
- ‘Ethical Assurance: How to design, develop, and deploy trustworthy systems.’ (DSTL AI Fest 4)
- ‘A Citizen’s Guide to Data: Ethical, Social and Legal Issues’ (Resident’s Panel, Camden City Council)
- ‘Ethical Assurance of Digital Mental Healthcare’ (TAS Hub, All Hand’s Meeting)
- ‘Changing Interface for Mental Healthcare’ (Panel Conversation, Digital Innovation in Mental Health 2021 Conference)
- ‘Ethical Assurance of Data-Driven Technology’ (Invited Keynote—Government Data Leaders Forum, Deloitte UK)
- ‘AI and Public Policy’ (Oxford UNIQ+)
- ‘Participatory Assurance: The Responsible Design, Development, and Deployment of Augmented Intelligence’ (TAS/RUSI Workshop on Defence and Security)
- ‘Digital Well-Being: The Ethical Design and Governance of Digital Technologies for Mental Health and Well-Being’ (Invited Lecture—Legal Courses on Law and Technology, European Law Society Association
- ‘Explanation and Active Enquiry’ – (Invited Workshop Paper) Jubilee Centre for Character and Virtues, University of Birmingham
- ‘Responsible Research and Innovation in Digital Psychiatry’ - (Invited Seminar) TU Eindhoven, Netherlands
- ‘Responsible and Trustworthy Machine Learning’ - (Invited Seminar) University of Bristol, UK
- ‘Digital Well-Being’ - (Video Podcast) EAVI Conversations 2020
- ‘The Ethics of Digital Well-Being’ - (Public Lecture) Ethical Reading
- ‘Living online: the long-term impact on wellbeing’ – (Inquiry Hearing) House of Lords COVID-19 Select Committee
- ‘AI and Trust’ (Invited Lecture—Ethical Implications of AI SS2020, Frankfurt Big Data Lab, Goethe University)
- ‘Responsibility, Trust, and Assurance: How should we design, develop, and deploy machine learning?’ - (Keynote Lecture) Science and Society Conference, London School of Economics
- ‘Digital Psychiatry: Risks and Opportunities for Public Health and Well-Being’ (Invited Lecture, University of Vienna)
- ‘Digital Psychiatry: Risks and Opportunities’ (Invited Presentation—[email protected], University of Oxford)
- ‘Exploring the Unknown: The Predictive Mind in Immersive Environments’ - Global Health Film Festival 2019, London, UK
- ‘Digital Psychiatry: Risks and Opportunities for Public Health and Well-Being’ (Ethics of Digital Well-Being, University of Oxford)
- ‘The Methodology and Ethics of Targeting’ (Invited Presentation—Leverhulme Centre for Intelligence, University of Cambridge)
- ‘An Analysis of the Interaction Between Intelligent Software Agents and Human Users’ — MANCEPT 2018, Paternalism, Nudging and the Digital Sphere (University of Manchester Centre for Political Theory)
- ‘An Analysis of the Interaction Between Intelligent Software Agents and Human Users’ — thinkBIG Workshop on the Ethical and Social Challenges posed by Artificial Intelligence (Cumberland Lodge, Windsor)
- ‘Building machines that ``learn and think’’ about morality’ — Society for Artificial Intelligence and the Simulation of Behaviour, 2018 (University of Liverpool)