A new study released today by The Economist Intelligence Unit ran three econometric scenarios to 2030 on five countries—the United States, the United Kingdom, Australia, Japan—and developing Asia as a whole.
In Risks and rewards: Scenarios around the economic impact of machine learning, commissioned by Google, two scenarios assumed greater human productivity through upskilling and greater investment in technology and access to open source data, while the third assumed insufficient policy support for structural changes in the economy.
The results showed that, although the fears of those pessimistic about the impact of machine learning, and artificial intelligence in general, may be overblown, the optimists’ claims are not entirely supported, either.
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