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Mission Critical Machine Learning

The impact of explainability, governance and bias when your models really matter.

With Prof. Mark Girolami, Turing Institute and Prof. Derek McAuley, Nottingham University.

14 June 2022, Cambridge

Register below

A personal invitation from Dave Excell, Founder at Featurespace


Register now to join today’s livestream

The Cambridge Sessions brings together the brightest minds in technology, academia and business to share ideas and insights that will shape the future of technology. And we’d like you to be part of the conversation.

Cambridge Session 2 will focus on Mission Critical Machine Learning – explainability, governance and bias when your models really matter.

We will hear from Prof. Mark Girolami, Chief Scientist at The Alan Turing Institute and Prof. Derek McAuley, Professor of Digital Economy at Nottingham University alongside Iker Perez and David Sutton two leading data scientists at Featurespace, in a short series of Keynotes and Panel Discussion.

Date: Tuesday 14th June 2022
Venue: The Cambridge University Union
Time: Doors open at 4:45pm

  • 4:45pm – Doors open; Livestream broadcast begins on Zoom
  • 5:00pm – 5:30pm – Hindsight as Foresight – How AI and data science shaped lockdown compliance in London. Professor Mark Girolami
    • Professor Mark Girolami will explain how by understanding “busyness” in the city of London, enabled mission-critical, targeted interventions and effective policy-making during the Covid 19 lockdown. You will learn how AI and data science can deliver an ‘early warning system’, to trigger intervention review to save lives. 
  • 5:30pm – 6:00pm – AI design in society. Professor Derek McAuley
    • Professor Derek McAuley discusses the many stakeholders and their roles in ensuring we build trustworthy, and hence acceptable, AI systems. 
  • 6:00pm – 6:30pm – Panel discussion with Professor Mark Girolami, Professor Derek McAuley, and Featurespace Data Scientists Iker Perez, David Sutton
  • 6:30pm Drinks reception in the library
  • 8:00pm Doors close until the next Cambridge Session

Want to know what to expect? You can watch last year’s virtual session on Deep Learning, with Prof. Frank Kelly, here.


Register for livestream instead