Machine Learning: Bias in, Bias out | Experience AI

Machine learning has the potential to help so many people, but if developers aren’t careful, the benefits may not be shared equally by everyone. If we aren’t careful, bias can enter the machine learning models we create. To help you spot and reduce bias, computer science student Salome Tirado is chatting to Stevie Bergman, Research Scientist at DeepMind, to find out how industry experts combat bias in their models.

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This video’s copyright is held by the Raspberry Pi Foundation, and the video is dual licensed under the YouTube Standard license and Creative Commons CC BY-SA 4.0 license.

Chapter

00:00 Introduction
00:31 What do we mean by bias?
00:51 Where does the bias come from?
01:47 An example of AI bias and the problem this may cause
02:12 What are the different types of biases?
02:52 Why we need to be aware of AI bias

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