"Stereotyping and Prejudice: The Problem of Statistical Stereotyping"Erin Beeghly (University of Utah)
Sowerby Philosophy & Medicine Project
London WC2R 2LS
- Peter Sowerby Foundation
- General Philosophy of Science
- Philosophy of Biology
- Philosophy of Cognitive Science
- Philosophy of Computing and Information
- Philosophy of Probability
- Philosophy of Social Science
- Philosophy of Science, Miscellaneous
- Applied Ethics
- Normative Ethics
- Philosophy of Gender, Race, and Sexuality
- Social and Political Philosophy
The Sowerby Philosophy & Medicine Project is very pleased to announce our Summer Colloquium Series on Stereotyping and Medical AI.
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.
And we are very pleased that our first speaker in this series of colloquia will be:
Professor Erin Beeghly (Utah) - "Stereotyping and Prejudice: The Problem of Statistical Stereotyping"
Time: 17th of June, 17.00 - 18.30 GMT+1
You can register for and find out more about the event on our Eventbrite page:
June 17, 2021, 6:30pm BST
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