Google’s AI creates its own ‘universal language’

Signal of change / Google’s AI creates its own ‘universal language’

By Anne-Louise Vernes / 21 Dec 2016

In November 2016, two months after its Neural Machine Translation (GNMT) system was switched on, Google found that the AI computer had developed its own internal language to represent the concepts it uses to translate between other languages.

Google created the GNMT system to help it automatically improve languages. Rather than translating individual phrases or words, the machine learning system analyses and makes sense of languages by looking at entire sentences. Following several months of testing, researchers behind the AI have seen it be able to blindly translate languages even if it's never studied one of the languages involved in the translation. In one instance, for example, the AI was taught Portuguese to English and English to Spanish translations. From this, the AI was able to make translations between Portuguese to Spanish.

The GNMT system was able to make "reasonable" translations of the languages it had not been taught through the creation of ‘interlingua’, a type of artificial language, used within the AI to explain how unseen material could be translated.

So what?

Interestingly, the ’interlingua’ encoded by the GNMT system was unintended by the researchers behind the project. Only in trying to understand how the system made connections between unknown languages did researchers find the artificial language created. If this points to the growing power of AI, will developments out of our control like this one be indicative of future systems?

One thing is certain: such developments raise further questions as to the creation and employment of 'artificial' insights and know-how, as well as how multiple languages (or sources of information) will be processed by machines in the future using a single system.

Sources

http://www.wired.co.uk/article/google-ai-language-create

What might the implications of this be? What related signals of change have you seen?

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