SEPTEMBER - 2018ENTERPRISE SECURITY| | 19Artificial Intelligence Explained.... with Cats and Dogs...By Richard Bradley, Director, Digital Supply Networks, DeloitteArtificial Intelligence is, at its heart, the discipline of building machines that think like humans-in particular the development and display of learning and problem solving capabilities.There are hundreds of articles out there that talk about the socio-economic impact of AIhow it will change the way in which we work and view "value" but relatively few articles that explain some of the basic concepts in simple terms and the crucial principles of how machines "learn".CXO INSIGHTSWhilst the big pictures and headlines are importantthe ability to understand some of the science behind the data can be at once reassuring, profoundly interesting and in some casesterrifying.In my case, when researching this articleI learned two things:1. Any analogy like this can only ever skim the surface of the topic.2. Eliezer Yudkowsky was right-you conclude you understand AI at your peril!Hot Topic: Machine LearningLet's get started. Machine Learning allows computers to do things without being explicitly programmed to do so. How? By learning from patterns and experience just as a child does.Imagine a child is shown a picture of a cat and a picture of a dog ("training data sets") by their parents ("supervised machine learning") and every time they mistake a dog for a cat (or vice-versa), their parents correct them. Future cats and dogs that the child sees may be of different colors, shapes, breedshowever the child still knows that they are seeing either a cat or a dog because from the previous data he/she has been shown, they can determine the patterns which give the highest likelihood of that animal being a cat or a dog.
<
Page 9 |
Page 11 >
