Getting to the Facts
In order to answer some of these questions, the OECD held a conference last week on AI. Government and industry representatives, AI academics and others met to review the state of AI and pose the question of what governments could and should do, in creating policies to take advantage of the benefits of AI whilst minimising the risks.
The first thing that became clear is that the focus of discussion was mainly on machine learning and in particular, deep learning. Deep learning software learns to be able to recognise patterns from data. Google, for example, is using it to recognise pets by their faces. Another company, DeepL, uses deep learning to do high-quality language translation.
Speakers emphasised that deep learning works only because it uses a large amount of data that is processed on powerful computers. It has become successful as a technique because companies have access to large amounts of data and at the same time, to large amounts of cheap processing power.
The original article goes into much more details on:
- The concerns about data used for AI applications;
- The dangers of biased data;
- Responsibility and liability in AI applications;
- It isn’t just hype;