The Economist editorial team supplemented their 2020 projections with AI input this year, by interviewing GPT-2 model.

While the “world is full of disruptive technologies with real and potentially huge global impacts”, the most important, in the algorithm’s “opinion”, is predictably Artificial Intelligence.

Answering to the question about the future of AI, Economist’s AI advisor noted that more effort should be put “in developing the technology”, rather than “worrying it is going to harm” humans or destroy society. 

AI also acknowledged that AI technologies can be indeed misused, and generally spoke of more responsible use of new technologies, but at the same time it shared a valid point that “a global problem” needs “global solutions”, where governments and companies work together to ensure sustainable AI development.

Whether machines will take humans jobs, depends on “what role machine intelligence will play”, noted AI. Yet AI oracle seems very confident that in the fields like finance or medicine, machines will “replace people”.

AI also predicted that Donald Trump will not win next elections, the world will witness more trade competition with “China as an important player” and most changes happening in there, but anyways the US and China will develop “a more balanced relationship”.

The economical predictions are rather pessimistic: AI oversees “a lot of turbulence in the world economy”. Not giving much credit to the UK economy, it deems the American economy nevertheless strong.

The predictions were provided by GPT-2 system, which, how it itself puts it, is “interested in the understanding the origins of the language”. As Future TIme previously reported, in November 2019 Open AI has announced the final release of “GPT-2” Model, that earlier was postponed named too dangerous for the public.

For the record, idea mastermind and interviewer Tom Standage believes that “GPT-2 cannot really predict the future”, as he detailed in the methodology. Yet the system is very “good at generating text in particular styles”, that is why it was already used by New York Times, for example. 

Image Credit: Dreamstime via Economist 

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