How artificial intelligence works

14-03-2019

This briefing provides accessible introductions to some of the key techniques that come under the AI banner, grouped into three sections to give a sense the chronology of its development. The first describes early techniques, described as ‘symbolic AI’ while the second focusses on the ‘data driven’ approaches that currently dominate and the third looks towards possible future developments. By explaining what is ‘deep’ about deep learning and showing that AI is more maths than magic, the briefing aims to equip the reader with the understanding they need to engage in clear-headed reflection about AI’s opportunities and challenges, and meaningful debates about its development.

This briefing provides accessible introductions to some of the key techniques that come under the AI banner, grouped into three sections to give a sense the chronology of its development. The first describes early techniques, described as ‘symbolic AI’ while the second focusses on the ‘data driven’ approaches that currently dominate and the third looks towards possible future developments. By explaining what is ‘deep’ about deep learning and showing that AI is more maths than magic, the briefing aims to equip the reader with the understanding they need to engage in clear-headed reflection about AI’s opportunities and challenges, and meaningful debates about its development.