Walsh 2017 Survey
Toby Walsh surveyed hundreds of experts and non-experts in 2016 and found their median estimates for ‘when a computer might be able to carry out most human professions at least as well as a typical …
Toby Walsh surveyed hundreds of experts and non-experts in 2016 and found their median estimates for ‘when a computer might be able to carry out most human professions at least as well as a typical …
Oren Etzioni surveyed 193 AAAI fellows in 2016 and found that 67% of them expected that ‘we will achieve Superintelligence’ someday, but in more than 25 years. Details Oren Etzioni, CEO of the Allen Institute …
The AGI-11 survey was a survey of 60 participants at the AGI-11 conference. In it: Nearly half of respondents believed that AGI would appear before 2030. Nearly 90% of respondents believed that AGI would appear …
There is modest evidence that people consistently forecast events later when asked the probability that the event occurs by a certain year, rather than the year in which a certain probability of the event will …
This is an interactive timeline we made, illustrating the median dates when respondents said they expected a 10%, 50% and 90% chance of different tasks being automatable, in the 2016 Expert Survey on progress in …
Most machine learning researchers expect machines will be able to create top quality music by 2036. Details Evidence from survey data In the 2016 ESPAI, participants were asked two relevant questions: [Top forty] Compose a …
This page is a printout of the survey questions provided by the Qualtrics website as a word document, and then copied here, for searchability. It contains formatting differences with the survey as received by participants, and probably …
The 2016 Expert Survey on Progress in AI was discussed in at least 20 media outlets, popular blogs, and industry-specific sites that we know of. Most of them were summaries of the survey findings. Commonly …
This page is an informal outline of the other pages on this site about AI timeline predictions made by others. Headings link to higher level pages, intended to summarize the evidence from pages below them. This list was complete on 7 April 2017 (here is …
The 2016 Expert Survey on Progress in AI is a survey of machine learning researchers that AI Impacts ran in collaboration with others in 2016. Details Some survey results are reported in When Will AI Exceed Human Performance? …
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