- Northwestern economist Benjamin Jones and other academics are exploring how artificial intelligence could shape economies.
- "If machine learning can really take over all human tasks and take over ideas of innovation, then it would be possible to get a radical change in the growth rate," Jones told CNBC.
- Some have hypothesized that AI could enter into a rapid cycle of self-improvement, with each new cycle more intelligent than its predecessor.
Photo: Thomas Franck |
Participants at Intel's Artificial Intelligence (AI) Day stand in front
of a poster during the event in the Indian city of Bangalore on April 4,
2017. Photo: Manjunath Kiran | AFP | Getty Images |
From Amazon's Alexa learning which restaurants its users like, to Apple's iPhone predicting the next word in a text message, artificial intelligence (AI) is already having a significant influence on everyday life.
But Northwestern economist Benjamin Jones and his colleagues are now asking what happens to economic growth if artificial intelligence starts generating original thought. They are among the researchers looking at how much more human work AI can automate, including the generation of new ideas.
"If machine learning can really take over all human tasks and take over ideas of innovation, then it would be possible to get a radical change in the growth rate" of the economy, Jones told CNBC in an interview. "But the real question is going to be: can AI take over all of the essential tasks?"
Jones, along with Chad Jones of Stanford University and Philippe Aghion of the College de France wrote about their research in a paper entitled "Artificial Intelligence and Economic Growth" for the National Bureau of Economic Research earlier this month.
If rapidly-improving artificial intelligence can provide the markets with innovations to improve the workplace, some jobs could see skyrocketing wage growth while others could become obsolete.
AI activity has been accelerating, with the world's top technology companies leading the way. Self-driving vehicles have been one popular subject of experimentation. Chipmakers including Nvidia have refined their products to better suit AI computations, while Amazon has long used AI to recommend products in its e-commerce business.
Rapid cycle of self-improvement
This week, Google-owned DeepMind published the latest findings of Alphago, its project in which a computer learns how to play the board game Go. This latest installment, dubbed Alpha Zero, managed to beat Google's existing AlphaGo 100 times consecutively after only three days of training. This happened completely without human training.
Jones and his research team looked at different scenarios. The first modeled growth if people could be replaced by AI in all tasks. Other models looked at growth with partial automation. There weren't any stark numerical findings, but the ongoing research is aimed at finding how AI can be useful in generating economic growth, as the steam engine did in the 1800s and early computer chips did in the middle 20th century.
In one model, replacing labor with artificial intelligence, the research team showed that only AI and economic capital could be required for the generation of new ideas.
Some have hypothesized that AI could enter into a rapid cycle of self-improvement, with each new cycle more intelligent than the previous one. Such a development could dramatically change the way people live.
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Source: CNBC