Prepared for Chris Z. | Delivered July 12, 2019
Human Level AI Top Researchers and Universities
To obtain a list of the top researchers and universities focusing on human-level AI research and development.
Human-like artificial intelligence is
also known as AGI
, or artificial general intelligence.
While AGI has not yet been fully-realized, there are a number of researchers working on robots which behave in human-like ways, such as
In a survey of
18 of the top researchers
in this field — the majority of whom opted to remain anonymous — the average estimate for when AGI will be a reality is about 80 years from now, in 2099.
Regardless of what exact year they believe AGI will become a reality, most experts in the field say that "
Many leading experts in the field have paused their research "
in favor of applying
what's been discovered so far."
Using the technologies already available, "
some early adopters
are forging ahead, turning to forms of AI to perform or augment tasks traditionally done by humans."
In a Deloitte survey
of 1,500 senior executives in the United States, 76 percent said AI would transform their companies within the next three years, and 92 percent said the technology was “important” or “very important” to their internal business processes."
EXPERTS IN AGI
in the area who are concerned by the rise of human-like AI include Sonia Katyal, Erik Brynjolfsson, Bryan Johnson, Marina Gorbis, Judith Donath, Andrew McLaughlin, and Michael Roberts, among others.
is a developmental cognitive scientist working on developing a child-like robot named Chloe at NYU. His goal is to learn whether human-like AI could learn in the same way that a child does.
Blue, a well-known human-like robot, was created and operated by a
team of researchers
at the University of California — Berkeley. The primary researcher involved in "her" development is Pieter Abbeel, a professor of electrical engineering and computer science at the university.
top researchers in the field
are Ray Kurzweil and Rodney Brooks, both of whom believe that AGI will be available in the relatively near future.
, the dean of computer science at Carnegie-Mellon University, is one of the leading experts in the field of AGI and is currently working on applying what has been learned so far
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