AI's challenge is to help reduce inequalities instead of increasing them
Ever since the Dartmouth conference in 1956, artificial intelligence has gone through cycles of great enthusiasm and disappointment, important advancements and frustrating failures. Nevertheless, it has reached peaks that we thought unachievable in such a short time: beating humans in complex games (chess, go), understanding natural language, self-driving cars, etc. From now onwards, artificial intelligence could have a much greater role than the one it has had until now. AI is not only a research field for labs anymore, it does not have a handful of applications only. It is one of the keys for our future –and present.
We’re living in an increasingly unequal world, which is why a big push for current scientific developments is being made in the AI field. In contrast with previous periods, research in AI does not belong solely to the sciences, it has extended beyond them. An impressive amount of money is invested in AI’s new applications and research industry. Politicians from all over the world mention it frequently and even compare it with nuclear technology.
AI will shake all business models. It is the next disruption and it’s already happening. For this reason, countries can now decide whether they want to be a part of this disruption, or to stay put, wait in line and see how their employment falls.