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CATEGORIES:Mobile and Wearable Health Seminar Series
SUMMARY:Towards responsible deployment of robust and priva
 te AI models in healthcare - Olivia Wiles\, DeepMi
 nd
DTSTART;TZID=Europe/London:20250128T160000
DTEND;TZID=Europe/London:20250128T170000
UID:TALK219385AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/219385
DESCRIPTION:Bio: Olivia Wiles is a Staff Research Scientist at
  DeepMind working on robustness and evaluation of 
 large models in machine learning\, focussing on ap
 plication driven research ranging from medical app
 lications to large\, multimodal foundational model
 s. Prior to this\, she was a PhD student at Oxford
  with Andrew Zisserman studying self-supervised re
 presentations for 3D.\n\nAbstract: AI breakthrough
 s for medical applications are happening at pace\,
  but it is important to consider how to ensure tru
 stworthiness of these solutions before adoption. W
 hile true for ML as a whole \, these questions are
  especially vital in the medical domain. I will di
 scuss two angles of trustworthiness -- fairness/ro
 bustness and privacy -- and how we can build solut
 ions that aim to ensure these requirements are met
  from the ground up by leveraging generative model
 s. While these approaches show promising results\,
  they are not a panacea\, and a holistic approach 
 is required to identify and mitigate challenges fo
 r deploying AI solutions in medical applications.
LOCATION:Computer Lab\, FW26 and Online
CONTACT:Cecilia Mascolo
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