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Cat or guacamole? Why AI makes mistakes and how we can fix it

Tuesday November 16, 2021 - 1:00-2:00pm AEDT

Dane Sherburn, Software Developer, Thoughtworks

It turns out that it’s pretty easy to fool an AI system into thinking that an image of a cat is a delicious plate of guac. So why does AI sometimes make such silly mistakes? In this talk, we'll look at how AI works and discuss why getting them to operate as intended is surprisingly difficult. You'll learn: 

(1) how neural networks learn to solve tasks

(2) that neural networks often learn to solve tasks very differently to how we learn to solve them (3) the implications of the fact that we learn to solve tasks differently; and

(4) techniques to make these models more interpretable and robust

Dane Sherburn Dane Sherburn

A little bit about Dane

Dane is a machine learning engineer with experience in researching, training and deploying machine learning models. He has worked on a range of machine learning systems across domains such as semi-supervised learning on graphs, neural machine translation and text classification.

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