Dr Christopher Nathan is a Policy Fellow at the Alan Turing Institute, specialising in AI governance and its ethical implications. His work focuses on standardisation, sustainability and the deployment of AI in critical sectors such as maritime. His published research includes work on life cycle assessments, policymaker and scientist attitudes towards risk, responsible innovation, AI assurance, and predictive and undercover policing. He has participated in standards development on crisis response and responsible innovation.

His core philosophical interests fall within practical applied ethics, especially in the fields of technology and security. He has worked on projects relating to the ethics of the surveillance of public gatherings, of policing human trafficking, and of generative AI. He has also worked on AI bias and explainability protocols. He has published papers on political theory, criminal justice ethics, and emerging technology, including in Legal Theory, Journal of Applied Philosophy, Science and Engineering Ethics, and Policy Sciences, and a short monograph entitled The Ethics of Undercover Policing. He has a PhD from the University of Exeter and an MPhil from Oxford.