Christopher Burr

Senior Researcher in Trustworthy Systems at the Alan Turing Institute

I research the trustworthiness and ethics of data-driven technologies, with a focus on developing practical assurance methods for AI systems. My work spans responsible innovation, digital twinning, and the philosophical foundations of cognitive science.

Research Areas

Trustworthy and Ethical Assurance
Research into assurance techniques and methods to ensure AI systems are trustworthy and ethical.
Digital Twinning
Designing and governing virtual representations of physical systems, such as cardiac digital twins.
Participatory Design
Ensuring responsible research and innovation practices, such as open science and public engagement, are core parts of the scientific process.
AI and Data Ethics
Examining the ethical and societal implications of data-driven technologies, such as machine learning and artificial intelligence.
Philosophy of Cognitive Science
Exploring the philosophical foundations of mind and cognition, and applying it to novel areas such as large-language or foundation models.

Current Projects

Networks of Cardiovascular Digital Twins (CVD-Net)
Co-Investigator for work package 6 of the EPSRC-funded project, CVD-Net, building connected digital twins of patient's hearts.
Trustworthy and Ethical Assurance Platform
Project Lead for the TEA Platform—an online, community-centred platform for enhancing skills and capabilities in AI assuranc.
Uncertainty and Trust Special Interest Group (DTNet+)
Lead of the Uncertainty and Trust Special Interest Group (SIG) for the UKRI Digital Twin Network+.
Turing Commons
Co-founder and co-lead of the online skills and training platform for responsible data-driven technology practices.