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Staff and students are very welcome at the following events hosted by CHESS this academic year. For further information on all our events, including details on how to register, contact us at email@example.com
Recent debates indicate that the scope and societal role of medicine is fated to be altered in the twenty-first century. The debates raise fundamental questions about the aim of medicine and the main task of the talk is to contribute to clarifying this issue. I start by examining an initially plausible proposal according to which medicine is pathocentric, aiming to restore the health of individuals by curing disease. Discussing and rejecting this as well as competing proposals, I present and defend the Autonomy Thesis, which holds that medicine is not pathocentric, but sanocentric, with the final aim to enhance autonomy. I close by considering the objection that the Autonomy Thesis is overly permissive and allows many highly controversial procedures as legitimate parts of medicine.
Mapping the opacity of artificial intelligence in medicine
Artificial intelligence has been met with great enthusiasm by the scientific community. However, philosophers and ethicists have voiced some concerns. The concepts of “opacity” and “transparency” of artificial intelligence have been coined with the presupposition that opacity in AI is something to avoid and conversely transparency is a goal to achieve in the field. Numerous guidelines have been published on the ethics of AI, resulting in several reviews. In these guidelines, transparency is routinely described as one of the key principles the field of AI should follow. The aim of this talk will be twofold: first, to map the different meanings of the concept of “transparency” and its mirror concept “opacity” both in the philosophy of AI, on the one hand, and in the philosophy of medicine, on the other hand. Second, my goal will be to pave the way to understand in which sense – ethical and/or epistemological – opacity should be avoided both in medicine and in AI and a fortiori in AI in medicine. In other words, what is the problem with the opacity of artificial intelligence and does the medical context change anything to the issue?
Sisyphean science: why value freedom is worth pursuing
(co-authored with Tarun Menon, National Institute of Advanced Studies, Bengaluru)