Stereotyping and Medical AI
Online Summer Colloquium Series
by the Sowerby Philosophy & Medicine Project
The aim of this fortnightly colloquium series on Stereotyping and Medical AI is to explore philosophical and in particular ethical and epistemological issues around stereotyping in medicine, with a specific focus on the use of artificial intelligence in health contexts. We are particularly interested in whether medical AI that uses statistical data to generate predictions about individual patients can be said to “stereotype” patients, and whether we should draw the same ethical and epistemic conclusions about stereotyping by artificial agents as we do about stereotyping by human agents, i.e., medical professionals.
Other questions we are interested in exploring as part of this series include but are not limited to the following:
- How should we understand “stereotyping” in medical contexts?
- What is the relationship between stereotyping and bias, including algorithmic bias (and how should we understand “bias” in different contexts?)?
- Why does stereotyping in medicine often seem less morally or epistemically problematic than stereotyping in other domains, such as in legal, criminal, financial, educational, etc., domains? Might beliefs about biological racial realism in the medical context explain this asymmetry?
- When and why might it be wrong for medical professionals to stereotype their patients? And when and why might it be wrong for medical AI, i.e. artificial agents, to stereotype patients?
- How do (medical) AI beliefs relate to the beliefs of human agents, particularly with respect to agents’ moral responsibility for their beliefs?
- Can non-evidential or non-truth-related considerations be relevant with respect to what beliefs medical professionals or medical AI ought to hold? Is there moral or pragmatic encroachment on AI beliefs or on the beliefs of medical professionals?
- What are potential consequences of either patients or doctors being stereotyped by doctors or by medical AI in medicine? Can, for example, patients be doxastically wronged by doctors or AI in virtue of being stereotyped by them?
We will be tackling these topics through a series of online colloquia hosted by the Sowerby Philosophy and Medicine Project at King’s College London. The colloquium series will feature a variety contributors from across the disciplinary spectrum. We hope to ensure a discursive format with time set aside for discussion and Q&A by the audience. This event is open to the public and all are welcome.
To find out more about this series, please visit the Philosophy & Medicine Project’s website: https://www.philosophyandmedicine.org/summer-series. Our next colloquium in the series will be a Special Legal-Themed Panel Discussion chaired by a member of the London Medical Imaging & AI Centre for Value Based Healthcare, and featuring our very own Professor David Papineau and Dr. Jonathan Gingerich (which you can register for here)!
Our working line-up for the summer series is as follows, with a few additional speakers and details to be confirmed:
June 17 Professor Erin Beeghly (Utah), “Stereotyping and Prejudice: The Problem of Statistical Stereotyping”
July 1 Dr. Kathleen Creel, (HAI, EIS, Stanford) “Let’s Ask the Patient: Stereotypes, Personalization, and Risk in Medical AI” (recording linked)
July 15 Dr. Annette Zimmermann (York, Harvard), “ “Structural Injustice, Doxastic Negligence, and Medical AI”
July 22 Dr. William McNeill (Southampton), “Neural Networks and Explanatory Opacity” (recording linked)
July 29 Special Legal-Themed Panel Discussion: Dr. Jonathan Gingerich (KCL), Dr. Reuben Binns (Oxford), Prof. Georgi Gardiner (Tennessee), Prof. David Papineau (KCL), Chair: Robin Carpenter (The London Medical Imaging & AI Centre for Value Based Healthcare) (link to register)
August 12 Professor Zoë Johnson King (USC) & Professor Boris Babic (Toronto), “Algorithmic Fairness and Resentment”
August 26 Speakers TBC
September 2 Dr. Geoff Keeling (HAI, LCFI, Google)
September 9 Professor Rima Basu (Claremont McKenna)
To be notified about upcoming colloquia in the series and other Project events, you can subscribe to the Philosophy & Medicine Project’s newsletter here, or follow us on Twitter or Facebook. Previous colloquia will also be posted to the Philosophy & Medicine Project’s website and YouTube channel. (And for those unable to attend these colloquia, please feel free to register for our events in order to be notified once recordings of previous colloquia become available!)