Your submission is now in Draft mode.

Once it's ready, please submit your draft for review by our team of Community Moderators. Thank you!

Submit Essay

Once you submit your essay, you can no longer edit it.


This content now needs to be approved by community moderators.


This essay was submitted and is waiting for review.

Will an AI successfully masquerade as human for 20 questions by 2017?


The Turing Test (aka the "Imitation Game") is a well-known thought experiment as well as an actual test that can be done on computer programs that converse via text. The idea is simple: a human judge converses with the machine, and if it cannot discern the machine from a human conversant, then the machine has "passed."

No conversing system (or "Chatbot") has passed the Turing test (despite some reports), but they are getting better. Each year there is an annual competition in artificial intelligence for the Loebner Prize, which awards a bronze-level prize to the most human chatbox, and offers a silver- and gold-level prizes for actually passing versions of the full Turing test.

To qualify for the conversation test, chatbot contestants answer 20 open-ended questions designed by a panel. The questions are new each year, and the same questions offered to each chatbot. You can see the 2014 and 2015 questions here, along with the answers that each of 15-20 chatbots gave.

Some of the chatbots give pretty convincing answers to many of the questions, scoring as much as 89% in the contest's scoring system. Examination suggests a typical human would easily score 100% most of the time.

As a step toward passing a full Turing test, in the 2016 or 2017 competitions, will a chatbot score 100% in the 20-question preliminary round?

Make a Prediction


Note: this question resolved before its original close time. All of your predictions came after the resolution, so you did not gain (or lose) any points for it.

Note: this question resolved before its original close time. You earned points up until the question resolution, but not afterwards.

Current points depend on your prediction, the community's prediction, and the result. Your total earned points are averaged over the lifetime of the question, so predict early to get as many points as possible! See the FAQ.