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SUMMARY:The Philosophy of Explainable AI and Applications in Medicine - Dr
  Rune Nyrup\, Senior Research Fellow at the Leverhulme Centre for the Futu
 re of Intelligence
DTSTART:20230213T140000Z
DTEND:20230213T150000Z
UID:TALK197275@talks.cam.ac.uk
CONTACT:John Dudley
DESCRIPTION:A prominent topic in contemporary AI ethics is the concern tha
 t advanced machine learning systems may become unexplainable ‘black boxe
 s’. This has led policymakers to propose regulating the use of machine l
 earning in high-risk contexts\, such as medicine. Machine learning researc
 hers have sought to address this concern by developing methods and tools f
 or making AI systems more ‘explainable’ or ‘interpretable’\, a fie
 ld 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\, health
 care policymakers and clinicians.
LOCATION: Cambridge University Engineering Department\, Lecture Room 4
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