Human-Level AI by 2040?

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Source: @Annu297

Vincent Müller and Nick Bostrom of FHI conducted a poll of four groups of AI experts in 2012-13. Combined, the median date by which they gave a 10% chance of human-level AI was 2022, and the median date by which they gave a 50% chance of human-level AI was 2040.

Details

According to Bostrom, the participants were asked when they expect “human-level machine intelligence” to be developed, defined as “one that can carry out most human professions at least as well as a typical human”. The results were as follows. The groups surveyed are described below.

  Response rate10%50%90%
 PT-AI 43%202320482080
 AGI 65%202220402065
 EETN 10%202020502093
 TOP100 29%202220402075
 Combined 31%202220402075

Figure 1: Median dates for different confidence levels for human-level AI, given by different groups of surveyed experts (from Bostrom, 2014).

Surveyed groups:

PT-AI: Participants at the 2011 Philosophy and Theory of AI conference. By the list of speakers, this appears to have contained a fairly even mixture of philosophers, computer scientists and others (e.g. cognitive scientists). According to the paper, they tend to be interested in theory, to not do technical AI work, and to be skeptical of AI progress being easy.

AGI: Participants at the 2012 AGI-12 and AGI Impacts conferences. These people mostly do technical work.

EETN: Members of the Greek Association for Artificial Intelligence, which only accepts published AI researchers.

TOP100: The 100 top authors in artificial intelligence, by citation, in all years, according to Microsoft Academic Search in May 2013. These people mostly do technical AI work, and tend to be relatively old and based in the US.

Source: AI Impacts

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Oren Etzioni:

To get a more accurate assessment of the opinion of leading researchers in the field, I turned to the Fellows of the American Association for Artificial Intelligence, a group of researchers who are recognized as having made significant, sustained contributions to the field.

In early March 2016, AAAI sent out an anonymous survey on my behalf, posing the following question to 193 fellows:

“In his book, Nick Bostrom has defined Superintelligence as ‘an intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills.’ When do you think we will achieve Superintelligence?”

…In essence, according to 92.5 percent of the respondents, superintelligence is beyond the foreseeable horizon.

See also Oren Etzioni on Building Intelligent Machines

From Oren Etzioni’s presentation at the O’Reilly AI conference, September 2016:

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About GilPress

I'm Managing Partner at gPress, a marketing, publishing, research and education consultancy. Also a Senior Contributor forbes.com/sites/gilpress/. Previously, I held senior marketing and research management positions at NORC, DEC and EMC. Most recently, I was Senior Director, Thought Leadership Marketing at EMC, where I launched the Big Data conversation with the “How Much Information?” study (2000 with UC Berkeley) and the Digital Universe study (2007 with IDC). Twitter: @GilPress
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