United States and the World are back on Track to Working with Artificial Intelligence
- May 10, 2018
- 2 min read
The White House on Thursday plans to convene executives from Amazon, Facebook, Google, Intel, Microsoft, Nvidia, Oracle, Ford, Land O’Lakes, Mastercard, Pfizer and United Airlines other major U.S. companies as it seeks to develop and grow its understanding and advancement in artificial intelligence.
According to a draft of the event, the Trump administration plans to work with government officials, academics and AI developers develop and adopt regulations to advance AI in such fields as agriculture, health care, and transportation.
America has not made the biggest leap into it A.I research, though the government has put millions into STEM education. Trump's administration claims, by their estimate, that in 2017, $2 billion was put into A.I R&D. However other countries are coming up to surpass the U.S. This year, France announced it would invest $1.8 billion (€1.5 billion) in AI research by 2022; the UK is putting hundreds of millions of dollars into the field in a bid to take the lead in AI ethics, China unveiled their plan to become the world’s dominant force in AI by 2030 with AlphaGo.
To address the idea that millions have about A.Is replacing Humans for their jobs, according to the OECD’s(Organisation for Economic Co-operation and Development) analysis, the fear of losing your job is SOMEWHAT exaggerated. That only 14 percent of jobs in OECD countries, which includes the US, UK, Canada, and Japan, are “highly automatable,” meaning their probability of automation is 70 percent or higher. In layman's terms, 14 percent have the ability of their jobs being taken by machines. Even then, many of these jobs CANNOT be done by a machine simply because of their limitations.
Verge's example as to why was "Think about a machine operator in a factory, for example. Although a portion of their job could be automated, they may have other responsibilities (such as managing inventory and overseeing junior workers), which computers cannot manage. And consider the difference between a worker in US garment factory and its equivalent in Vietnam: the American factory is more likely to be technologically advanced, and the typical worker’s day will likely involve a greater number of non-routine tasks that resist automation."
From researchers, they say “The risk of automation is not distributed equally among workers [...] Occupations with the highest estimated automatability typically only require basic to a low level of education."
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