Machine learning and fairness

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Google

1-13 Saint Giles High Street

London

WC2H 8AG

United Kingdom

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We are back after the summer break with something special. For the past 2 years, we've had an amazing opportunity to hear from Google UX teams on the topic of international research. Because, you know, it's hard to find a more global company.

However, this time we wanted to do something a bit different. We've all heard talks and read about machine learning, so we've arranged for experts on the subject to talk to us about machine learning and how it relates to fairness. Expect some great thoughts and insights on the night.

We are excited to have Silvia Chiappa from Deep Mind giving a talk for the first part of the evening followed by discussions in smaller groups.

Doors open: 6pm
Event starts: 6:30pm - please make sure you can make it for the start before getting a ticket


Speaker

Silvia Chiappa, @csilviavr

Silvia is a senior research scientist at DeepMind, where she works on deep predictive models of high-dimensional time-series, and also contributes to the DeepMind's diversity and inclusion initiative. Silvia received a Diploma di Laurea in Mathematics from University of Bologna and a PhD in Statistical Machine Learning from École Polytechnique Fédérale de Lausanne. Before joining DeepMind, she worked in several Machine Learning and Statistics research groups, such as the Empirical Inference Group at the Max-Planck Institute for Biological Cybernetics, the Machine Learning and Perception Group at Microsoft Research Cambridge, and the Statistical Laboratory at University of Cambridge. Silvia's research interests are based around Bayesian and causal reasoning, approximate inference, time-series models, algorithmic fairness, and deep learning.



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1-13 Saint Giles High Street

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WC2H 8AG

United Kingdom

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