Georg Starke
Fields of expertise
Biography
Dr. Georg Starke is a postdoctoral researcher at the College of Humanities at EPFL, working in the Intelligent Systems Ethics Group. As member of the Hybrid Minds project, Georg’s research examines the ethics of using artificial intelligence in medicine, with particular regard to neurological and psychiatric applications. Beyond AI ethics, Georg is also interested in history and philosophy of science, philosophy of psychiatry, medical ethics, and questions at the intersection of philosophy of mind and comparative psychology.Georg has been trained in medicine and in philosophy, concluding both studies with a respective doctoral degree. He studied medicine at the Technical University of Munich and was visiting student at the University of Buenos Aires, the Hebrew University Jerusalem, and the University of Oxford. His medical doctoral thesis investigated subcortical correlates of social fear, using model-based fMRI. In parallel to his medical studies, Georg obtained a BA in philosophy from the Munich School of Philosophy and an MPhil in History, Philosophy and Sociology of Science, Technology and Medicine from the University of Cambridge. His PhD in bioethics at the University of Basel, defended in 2022, shed light on the notion of trust in medical AI and scrutinized the trustworthiness of clinical AI appliances with particular view to fairness and explainability.
Education
PhD in Bioethics (Dr. phil.)
Title: Trusting Black-Box Algorithms? Ethical Challenges for Biomedical Machine Learning
University of Basel, Institute for Biomedical Ethics, Faculty of Science
2022
Doctorate in Medicine (Dr. med.)
Title: The ventromedial hypothalamic nucleus, fear and its regulation in the human brain
Technical University of Munich, Faculty of Medicine
2020
German Medical License (Approbation)
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Technical University of Munich, Faculty of Medicine
2018
Master in History, Philosophy and Sociology of Science, Technology and Medicine (MPhil)
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University of Cambridge (Clare College)
2016
Bachelor in Philosophy (BA)
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Munich School of Philosophy
2014
Awards
Research Residency
Fondation Brocher, Geneva
2021
Paul Schotsmans Prize
European Association of Centres of Medical Ethics (EACME)
2019
Cross-border Education Award
EUCOR – The European Campus (with Philipp Kellmeyer)
2019
Maintenance Award
Rausing, Williamson and Lipton Fund, University of Cambridge
2015
Scholarship
Max Weber Program Bavaria
2009 - 2018
Scholarship
German National Merit Foundation (Studienstiftung des deutschen Volkes)
2009 - 2018
Publications
Selected publications
Starke, G., van den Brule, R., Elger, B. S., & Haselager, W. F. G. (2022) Bioethics, 36(2), 154-161 |
Intentional Machines: A Defense of Trust in Medical AI. |
Starke, G., & Poppe, C. (2022) Ethics And Information Technology 24(3) |
Karl Jaspers and artificial neural nets: on the relation of explaining and understanding artificial intelligence in medicine |
Starke, G., Schmidt, B., De Clercq, E., & Elger, B.S. (2022) AI and Ethics |
Explainability as fig leaf? An exploration of experts’ ethical expectations towards machine learning in psychiatry |
Starke, G., De Clercq, E., & Elger, B. S. (2021) Medicine, Health Care and Philosophy, 24(3), 341-349 |
Towards a pragmatist dealing with algorithmic bias in medical machine learning. |
Starke, G., De Clercq, E., Borgwardt, S., & Elger, B. S. (2021) Psychological Medicine, 51(15), 2515-2521 |
Computing schizophrenia: Ethical challenges for machine learning in psychiatry. |
Starke, G., De Clercq, E., Borgwardt, S., & Elger, B. S. (2021) Psychological Medicine, 51(14), 2512-2513 |
Why educating for clinical machine learning still requires attention to history: A rejoinder to Gauld et al |
Zimmermann, B., Starke, G., Shaw, D., Elger, B., & Koné, I. (2020) Swiss Medical Weekly, 150(2728) |
Actionability and scope should determine the extent of counselling for presymptomatic genetic testing |
Mulej Bratec, S., Bertram, T., Starke, G., Brandl, F., Xie, X., & Sorg, C. (2020) Social cognitive and affective neuroscience, 15(5), 561-570 |
Your presence soothes me: a neural process model of aversive emotion regulation via social buffering10.1093/scan/nsaa068. |