Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

On the Limits of Decision-Making with Artificial Intelligence

Martin Goodson (Evolution AI)
12:0512:45 Thursday, 24 May 2018
Data-driven business management, Strata Business Summit
Location: Capital Suite 15/16 Level: Intermediate

Who is this presentation for?

CTO, Product manager, Innovation manager

Prerequisite knowledge

Basic concepts of machine learning (e.g. classification, accuracy)

What you'll learn

* What kinds of errors do artificial intelligence systems make? * How can we build systems which are robust to common errors? * Why evaluation can be much more complicated than it seems

Description

How can AI become part of our business processes? Should we entrust critical decisions to completely autonomous systems? I’ll illustrate how to increase confidence in AI systems and manage the transition to an AI-driven organisation. Examples will be drawn from projects running in enterprise businesses and UK government agencies.

I will illustrate the somewhat unpredictable nature of artificial intelligence systems, and how mastering a handful of engineering principles can help to mitigate the risk of catastrophic failure.

  • What kinds of errors do artificial intelligence systems make?
  • How can we build systems which are robust to common errors?
  • Why evaluation can be much more complicated than it seems
Photo of Martin Goodson

Martin Goodson

Evolution AI

Martin Goodson is the chief scientist and CEO of Evolution AI, where he specializes in large-scale natural language processing. Martin has designed data science products that are in use at companies like Dun&Bradstreet, Time Inc., John Lewis and Condé Nast. Previously, Martin worked as a statistician at the University of Oxford, where he conducted research on statistical matching problems for DNA sequences.

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