Associate Professor Angeliki Kerasidou
BA, MA, MSt, DPhil
Associate Professor in Bioethics
- Reuben College Official Fellow, and Ethics and Values Theme Leader
Angeliki Kerasidou is an associate professor at the Ethox Centre and research fellow at the Wellcome Centre for Ethics and Humanities, University of Oxford. She is also fellow at Reuben College where she leads the Ethics and Values Theme. She studied theology and philosophy in Greece, Germany and the UK, and received her DPhil in 2009 from Oxford University.
Angeliki’s research focuses on ethical issues that arise from the introduction of new technologies to, and the effect of socio-economic changes, on biomedical research and clinical practice. Using philosophical analysis and empirical research, she is examining the ways in which these factors impact on the theory and the practice of professional ethics for biomedical researchers and healthcare staff.
In her current project, Dr Kerasidou examines the ethics of artificial intelligence (AI) in population health. She is particularly interested in the ways in which AI’s capacity for greater accuracy and efficiency can impact on trust, both relational and epistemic. For example, she is investigating the relationship between accuracy, efficiency and trust in the use of AI tools that rely on surveillance data. She is also researching how AI could disrupt the understanding and practice of traditional healthcare values of empathy and compassion, at an individual and systemic level. She is leading an international collaboration exploring how to build empathetic healthcare systems, including the role of AI in such efforts.
Dr Kerasidou has led two Wellcome Trust funded research projects on the effects of austerity policies in the ethics of healthcare. These projects investigated the ways in which the financial constrains caused by austerity and the increased drive for efficiency impacted on healthcare professionals’ ability to exercise ethical/professional values on the ground. She has done extensive research on the ethics of genomic research and genomic medicine in the global context. She worked closely with the Malaria Genomics Epidemiology Project (MalariaGEN), where she provided ethics advice and conducted research on issues such as the ethics of returning genomics results, the ethics of data sharing, and the ethics of collaboration. Furthermore, Angeliki has investigated the ethics of stem cell research and the moral permissibility of using human embryos for research purposes.
TEACHING AND SUPERVISION
Angeliki co-leads the ethics modules for the CDT in Health Data Sciences for the Department of Computer Science, and MSc in Global Health Science and Epidemiology for the Nuffield Department of Population Health. She is the course Leader for Research Ethics and Research Integrity, and Ethics and Law of Abortion and Artificial Reproductive Technologies for the Medical Science Division.
She is supevising a number of doctorate research projects investigating ethical aspects of data-driven technologies in healthcare and health research.
OTHER ROLES AND RESPONSIBILITIES
Dr Kerasidou is the Director of the Caroline Miles and Andrew Markus Scholarship Schemes for the Ethox Centre, Vice-Chair of the Independent Ethics Committee of International Agency for Research on Cancer (IEC IARC), Member of the Central University Research Ethics Committee (CUREC). She is Ethics Advisor for a number of EU-funded projects. In the past, she served as the Ethics Manager for the MalariaGEN Independent Data Access Committee (IDAC), and was member of the Oxford Tropical Research Ethics Committee (OxTREC), and of the ELSI Group for the 1000 Genomes Project.
Data-driven research and healthcare: public trust, data governance and the NHS.
Kerasidou A. and Kerasidou CX., (2023), BMC Med Ethics, 24
Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care.
Dlugatch R. et al, (2023), BMC Med Ethics, 24
A practical checklist for return of results from genomic research in the European context.
Vears DF. et al, (2023), Eur J Hum Genet, 31, 687 - 695
Democratising or disrupting diagnosis? Ethical issues raised by the use of AI tools for rare disease diagnosis.
Hallowell N. et al, (2023), SSM Qual Res Health, 3
The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions.
Sauerbrei A. et al, (2023), BMC Med Inform Decis Mak, 23