The Philosophy of Explainable AI and Applications in Medicine

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• Dr Rune Nyrup, Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence
• Monday 13 February 2023, 14:00-15:00
• Cambridge University Engineering Department, Lecture Room 4.

If you have a question about this talk, please contact John Dudley.

A prominent topic in contemporary AI ethics is the concern that advanced machine learning systems may become unexplainable ‘black boxes’. This has led policymakers to propose regulating the use of machine learning in high-risk contexts, such as medicine. Machine learning researchers have sought to address this concern by developing methods and tools for making AI systems more ‘explainable’ or ‘interpretable’, a field known as Explainable AI (XAI). However, it is often unclear what kinds of explanations are needed for a given context. In this talk, I outline a philosophical framework for thinking about these questions and apply it to a medical case study. I argue that different kinds of explanations that are needed for different audiences, such as medical researchers, healthcare policymakers and clinicians.

This talk is part of the Machine Learning and Machine Intelligence MPhil Seminars series.

This talk is included in these lists:

• Cambridge University Engineering Department, Lecture Room 4
• Information Engineering Division seminar list
• Machine Learning and Machine Intelligence MPhil Seminars

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