Translational Science Methods Club: Explainable AI (virtual)

Translational Science Methods Club: Explainable AI (virtual)
-

This is a past event

As part of the Turing-Roche Partnership Community Scholar Scheme, the Translational Science Methods Club (T-SciM Club) aims to bring together members of Turing and Roche as well as the wider academic and clinical community to discuss different methods that help us translate from data to science to clinic.

The theme of this T-SciM event will be explainable AI (XAI). This refers to a range of approaches that seek to design or evaluate ways to make the outputs of artificial intelligence algorithms more interpretable. Such explainability is important to better understand the mechanisms underlying the models computations and determine how trustworthy and generalisable their results are.

We will be joined by 3 speakers, who will give short talks introducing their work on XAI, followed by a panel discussion with questions and prompts from the audience. Find out more and register here.

External event: The University of Aberdeen is a member of The Turing University Network, a network committed to offering UK universities the opportunity to engage and collaborate both with The Alan Turing Institute and its broader networks in academia, industry and the public sector. Discover more about the university becoming a member of The Turing University Network: Turing Universities Network | Research | The University of Aberdeen (abdn.ac.uk)