Is AI on Track to Achieving Super Intelligence?

Monday, April 23, 2018

Is AI on Track to Achieving Super Intelligence?


Should we be fearful of artificial intelligence and the pace at which it’s progressing? Or should we fear fear itself and the risk of it stifling innovation?


Wherever this may be heading, the march of progress shows few signs of slowing down. Which companies and countries are leading the way?

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The chief scientist for AI research at Google Cloud Fei-Fei Li, along with Sinovation Ventures CEO Kai-Fu Lee and Jennifer Zhu Scott of Radian Partners along with Professor Rita Singh shared how AI-powered technology may not only shape our future, but also perhaps our understanding of the past in a recent World Economic Forum video. (See the full video below).

The speakers are careful to distinguish what today's AI is relative to the popular presentation of artificial general intelligent systems (AGI).

According to Lee, "A lot of people ask about today's AI, and whether or not it is intelligent. I think today's AI, based on the current state of the art, artificial intelligence is really more of an optimizer. it is not intelligent in the same sense as we think of humans as intelligent."

"We acquire knowledge, we abstract, we create. Today's machine intelligence is far from that level of complexity."
Li states, "We acquire knowledge, we abstract, we create. Today's machine intelligence is far from that level of complexity."

The presentation also highlights how China is pushing ahead with AI, and is making great strides to be competitive with the US and other nations.

"China has a few things going for it," stats Lee. "China has a huge, very strong engineering education, and a mass of people with fantastic engineering training, who are ready, able and willing to jump into AI."

Along with an environment of entrepreneurship, mass amounts of data and top-down and bottom-up support for AI development, China is poised to be very competitive with the systems being developed in the US, Canada and the UK.

A key difference between the development paths is that Chinese development tends to be based on short term gains, whereas the US is more willing to invest in long-term research according to Zhu Scott.

The speakers are typically reserved on the advent of AGI any time soon. However as Lee points out even narrow, single-domain AI systems will have huge societal impacts.




SOURCE  World Economic Forum


By  33rd Square